bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesAdelaideBusiness Intelligence Engineer

Business Intelligence Engineer

Adelaide · Canada, United States, United States · Remote · Active · $80,000–$100,000 / year · Rippling ATS

Job facts

FieldValue
CompanyAdelaide
TitleBusiness Intelligence Engineer
Normalized title-
Department / teamAnalytics Engineering
LocationUnited States
Work modelRemote / Remote
Employment typeFull Time
Salary$80,000–$100,000 / year
Statusactive
ATS providerRippling ATS
Posted / first seen2026-04-16 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Adelaide.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Rippling ATS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Analytics Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAdelaide
Sourceed63619f-ecfd-4a05-85fc-3b65a5a695ac
ATS providerRippling ATS

Description

company TL;DR Fast-growing measurement company looking for an entry level analytics engineer to help bridge the gap between data engineering and data analysis. Who we are Adelaide is the leader in one of the fastest-growing areas of advertising: attention measurement and activation. Since 2020, we've become the trusted media quality measurement partner for 40% of Fortune 50 brands who rely on our award-winning AU metric to plan smarter campaigns, invest in high-quality inventory, and dive stronger business outcomes. Adweek has called Adelaide's AU " the attention economy's most widely recognized metric," and AdExchanger named it "Best measurement/Analytics Capability." Our business continues to scale rapidly, outperforming the industry with a 35% three-year CAGR. What began as a 9-person startup in 2019 is now a team of more than 75. The past year brought meaningful expansion. We launched the AU ecosystem, giving brands, media agencies, and publishers a unified way to leverage and transact on AU. We broadened our programmatic footprint with custom bidding in GoogleDV360 and pre-bid targeting in The Trade Desk, and grew our partner roster to over 125 platforms and publishers. Leading brands like Dell, Diageo, an Jaguar Land Rover —along with premium publishers such as Hearst, Spotify, and The New York Times—continue to demonstrate AU's value across the media lifecycle. Adelaide is backed by prominent investors such as Human Ventures (Joe Marchese), Aperiam Ventures (Joe Zawadzki & Eric Franchi), WGI (Jonah Goodhart), and Irwin Gotlieb. We have a NYC office and a London WeWork, but operates as a remote-friendly company with flexible work options. How we work We're a team of action-oriented doers—management rolls up their sleeves and contributes every day. Our culture is rooted in curiosity and rigor: opinions are held lightly, debated openly, and strengthened through testing. Everyone is encouraged to play a role in shaping planning and strategy. We're built on belonging and growth—94% of employees report a strong sense of belonging, and 81% say they’re happy at work. role Position overview This position reports to the Senior Data Analytics Engineer; it will behave cross functionally across Data teams with an emphasis on supporting the Analytics team and their workflows. In this role, you will be joining a team of data scientists and engineers. You'll help build and maintain the semantic layer of our data pipeline, ensuring clean, consistent, and reusable data models. Day-to-day activities range from developing and testing data models, editing LookML, managing a data catalog, automating data analysis workflows, and working closely with stakeholders to understand and support their data needs. We’re seeking a candidate with 0-2 years of experience in analytics, data engineering, or a related field, and a passion for building clean, reliable data systems. This is a fully remote position within the United States, with opportunities to connect with colleagues at our New York office. You will need to be in NYC a few times per year. Compensation Base Salary Range: $80,000-$100,000 This role includes a competitive compensation package consisting of base salary, performance-based bonus, and equity. Final compensation will be determined based on experience, level, and location. What you'll learn An important part of our culture is continuous learning and the open sharing of ideas. We offer: Access to a broad network of investors and advisors who can help you and your team succeed Mentorship from executives with decades of experience in adtech and media Regular internal knowledge-sharing sessions An education budget to support ongoing professional growth and development In this role you'll learn: Gain a deep understanding of attention metrics and media quality measurement How to build and maintain modular, scalable data models using tools like dbt and Looker (LookML) Best practices for working millions of data points How to collaborate effectively across teams to meet stakeholder needs Core responsibilities Contribute to maintaining a well-organized data catalog with accurate, accessible metadata for both technical and non-technical audiences Build, test, and maintain SQL-based data models in the data warehouse (Redshift) to support reporting and analytics Help create and manage a clean, reliable reporting and semantic layer in Looker using LookML, ensuring business logic and metrics are clearly defined and reusable across dashboards Work cross functionally across Account Managers, Customer Success, and Analytics to support reporting needs and improve data accessibility Monitor data adoption and identify opportunities to improve data usability and self-service analytics What you'll bring SQL Proficiency - Strong ability to write, optimize, and debug SQL queries. You understand data modeling and warehouse best practices and are committed to writing clean, readable, and well-documented code. BI & Visualization Tools - Hands-on experience with BI/dashboarding platforms (e.g. Looker, Tableau) and familiarity with building or supporting a semantic layer for reporting. Data Modeling Tools - Experience building SQL-based data models in a data warehouse environment. Familiarity with semantic modeling tools (e.g. LookML) and exposure to transformation frameworks such as dbt is a plus. Understanding of ETL/ELT concepts is expected. Data Quality & Testing - Strong attention to detail in building data validation checks, profiling routines, and root cause analysis workflows to ensure reliable reporting data. Communication & Collaboration - Excellent interpersonal skills with experience working cross-functionally. Ability to translate technical concepts for non-technical audiences and help support adoption of data tools. Educational Background & Experience - Bachelor’s degree in a quantitative, technical, or analytical field (e.g. Computer Science, Math, Physics, Engineering) or a rigorous coding bootcamp with a portfolio demonstrating the above skills. What will set you apart A Creative Problem Solver - Approaches problems with an open mind finding innovative solutions to data wrangling, transformation, and analytics that drive real business impact Comfortable with ambiguity - You’re at ease with incomplete requirements or changing stakeholder needs, and you excel at asking the right questions to find solutions Relevant Tech Stack Experience - Familiarity with tools like Looker, Redshift, S3, and dbt Benefits Health & Wellness Medical, dental, and vision insurance (for US) Paid time off Parental leave Employee development & wellness stipend Holiday break Volunteer time off Financial & Compensation Competitive salary Performance-based quarterly bonus Stock options 401(k) retirement plan (for US) Workplace & Equipment Remote-first environment New York office access Access to available WeWork spaces Equal Employment Opportunity (EEO) Statement Adelaide is proud to be an Equal Opportunity Employer, committed to fostering a diverse, equitable, and inclusive workplace where all employees can thrive. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. Our commitment to equal opportunity employment extends beyond basic compliance to encompass the active cultivation of a workplace that values different perspectives, backgrounds, and experiences.

Full job record

Job IDbc6643be263d3ceb14c70a3810bb02ad7bff92c5
Org IDac248438-9ad1-4a39-8be4-33088b39f089
Source IDed63619f-ecfd-4a05-85fc-3b65a5a695ac
Board IDed63619f-ecfd-4a05-85fc-3b65a5a695ac
Providerrippling
Provider Job Keyec52ace1-3a49-4a49-83ac-6121f2f646bb
TitleBusiness Intelligence Engineer
Normalized Title
Statusactive
Activeyes
Location TextCanada, United States, United States
DepartmentAnalytics Engineering
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary RawUSD 80000-100000 YEAR
Salary Min80,000
Salary Max100,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://ats.rippling.com/adelaide/jobs/ec52ace1-3a49-4a49-83ac-6121f2f646bb
Apply URLhttps://ats.rippling.com/adelaide/jobs/ec52ace1-3a49-4a49-83ac-6121f2f646bb
First Seen At2026-05-29 07:13:15Z
Last Seen At2026-06-06 08:45:56Z
Last Checked At2026-06-06 08:45:56Z
Last Changed At2026-06-06 08:45:56Z
Inactive At
Source Posted At2026-04-16 17:21:50Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=adelaide/date=2026-06-06/2026-06-06T08-45-55-662Z-35ca93a2252f5788c26877a8ee72a79e729e4e447492aee23e89bca51cc560ca.json
Event Fields
{
  "content_hash": "e427af4ca405f28c8d91b213f266697dd94005eb7a38044ea28845e9fd4a7d14",
  "source_hash": "7e770ed290f27ebcf60fc354e169b8c86acb1228bc3c2cbf4867a67af3e85e6c",
  "last_changed_at": "2026-06-06T08:45:56.467Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en-us",
  "location": {
    "raw": "Canada, United States, United States",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": true,
    "confidence": 0.98,
    "workplace_type": "remote"
  },
  "salary_max": 100000,
  "salary_min": 80000,
  "inferred_at": "2026-06-06T08:45:56.456Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en-us",
    "location": {
      "raw": "Canada, United States, United States",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": true,
      "confidence": 0.98,
      "workplace_type": "remote"
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "list_job": {
    "id": "ec52ace1-3a49-4a49-83ac-6121f2f646bb",
    "url": "https://ats.rippling.com/adelaide/jobs/ec52ace1-3a49-4a49-83ac-6121f2f646bb",
    "name": "Business Intelligence Engineer",
    "language": "en-US",
    "locations": [
      {
        "city": null,
        "name": "Canada, United States",
        "state": null,
        "country": "United States",
        "stateCode": null,
        "countryCode": "US",
        "workplaceType": "REMOTE"
      }
    ],
    "department": {
      "name": "Engineering"
    }
  },
  "detail_job": {
    "url": "https://ats.rippling.com/adelaide/jobs/ec52ace1-3a49-4a49-83ac-6121f2f646bb",
    "name": "Business Intelligence Engineer",
    "uuid": "ec52ace1-3a49-4a49-83ac-6121f2f646bb",
    "board": {
      "logo": {
        "url": "https://prod-images.rippling.com/11e1bee2fc301c0533c6d5ed5fcb9563f24f971b.png?Expires=1780821956&Signature=QoY~Ky02vey-LddsdhVvAdUD-Gda0-Cfj8ZqjNCPK~O0PpZqKVv9RgIcRhiSntDNM1dYI2EJg73~Z2hu2VjRJ5pteHZsAhrpfq9-XPLyXGDte~uWJ9ccz5lpjtzXAvl62S7ADXoybRUhPTI1kSeCDYW8~6JENaAIxNFjrgeGZNf1NMC-Q1g8vY6QTxqRtby8fHnHPIS3H-JhvcVu4o57uaSs77To~oWMyM8rGPKP9zzRxjaRdu5EnEbTAxeLW4hvE19f475SjB4ITl7c~~k1l5uaaEyUXODrNKiaZYp9v5d9mx0OiqdHZnrPJDdlq8kOIQOhIgHiUX85fHjoeet~eA__&Key-Pair-Id=K2Y26R2ZPP26PH",
        "name": "adelaide-logotype-rgb-dark.png",
        "type": "image/png"
      },
      "slug": "adelaide",
      "title": "Adelaide Metrics",
      "banner": {
        "url": null,
        "name": "",
        "type": ""
      },
      "boardURL": "https://ats.rippling.com/adelaide/jobs",
      "fontType": "TAHOMA_SANS_SERIF",
      "subtitle": "Be a part of the best team in ad-tech.",
      "boardType": "RIPPLING",
      "linkColor": "#680054",
      "buttonColor": "#680054",
      "legalNotice": null,
      "buttonTextColor": null,
      "noOpeningsMessage": null,
      "groupJobsByLocation": false,
      "showBoardLogoOnJobPost": false,
      "showCompanyInfoUnderJobPost": false
    },
    "createdOn": "2026-04-16T10:21:50.663000-07:00",
    "department": {
      "name": "Analytics Engineering",
      "base_department": "Engineering",
      "department_tree": [
        "Engineering",
        "Analytics Engineering"
      ]
    },
    "companyName": "Adelaide",
    "description": {
      "role": "<meta><hr><h1 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;padding-left:0px;\"><span style=\"font-size:16pt;white-space:pre-wrap;\">Position overview</span></h1><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">This position reports to the Senior Data Analytics Engineer; it will behave cross functionally across Data teams with an emphasis on supporting the Analytics team and their workflows. </span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">In this role, you will be joining a team of data scientists and engineers. You'll help build and maintain the semantic layer of our data pipeline, ensuring clean, consistent, and reusable data models. Day-to-day activities range from developing and testing data models, editing LookML, managing a data catalog, automating data analysis workflows, and working closely with stakeholders to understand and support their data needs. </span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">We’re seeking a candidate with 0-2 years of experience in analytics, data engineering, or a related field, and a passion for building clean, reliable data systems.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">This is a fully remote position within the United States, with opportunities to connect with colleagues at our New York office. You will need to be in NYC a few times per year.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Compensation</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(14,16,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Base Salary Range:</strong></b><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\"> $80,000-$100,000</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">This role includes a competitive compensation package consisting of base salary, performance-based bonus, and equity. Final compensation will be determined based on experience, level, and location.</span></p><h1 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;padding-left:0px;\"><span style=\"font-size:16pt;white-space:pre-wrap;\">What you'll learn</span></h1><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">An important part of our culture is continuous learning and the open sharing of ideas. We offer:</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Access to a broad network of investors and advisors who can help you and your team succeed</span></li><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Mentorship from executives with decades of experience in adtech and media</span></li><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Regular internal knowledge-sharing sessions</span></li><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">An education budget to support ongoing professional growth and development</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">In this role you'll learn:</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Gain a deep understanding of attention metrics and media quality measurement</span></li><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">How to build and maintain modular, scalable data models using tools like dbt and Looker (LookML)</span></li><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Best practices for working millions of data points </span></li><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">How to collaborate effectively across teams to meet stakeholder needs</span></li></ul><h1 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;padding-left:0px;\"><span style=\"font-size:16pt;white-space:pre-wrap;\">Core responsibilities</span></h1><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Contribute to maintaining a well-organized data catalog with accurate, accessible metadata for both technical and non-technical audiences</span></li><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Build, test, and maintain SQL-based data models in the data warehouse (Redshift) to support reporting and analytics</span></li><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Help create and manage a clean, reliable reporting and semantic layer in Looker using LookML, ensuring business logic and metrics are clearly defined and reusable across dashboards</span></li><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Work cross functionally across Account Managers, Customer Success, and Analytics to support reporting needs and improve data accessibility</span></li><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Monitor data adoption and identify opportunities to improve data usability and self-service analytics</span></li></ul><h1 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;padding-left:0px;\"><span style=\"font-size:16pt;white-space:pre-wrap;\">What you'll bring</span></h1><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(14,14,14);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(14,14,14);font-size:10.5pt;white-space:pre-wrap;\">SQL Proficiency </strong></b><span style=\"color:rgb(14,14,14);font-size:10.5pt;white-space:pre-wrap;\">- Strong ability to write, optimize, and debug SQL queries. You understand data modeling and warehouse best practices and are committed to writing clean, readable, and well-documented code.</span></li><li style=\"color:rgb(14,14,14);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(14,14,14);font-size:10.5pt;white-space:pre-wrap;\">BI &amp; Visualization Tools </strong></b><span style=\"color:rgb(14,14,14);font-size:10.5pt;white-space:pre-wrap;\">- Hands-on experience with BI/dashboarding platforms (e.g. Looker, Tableau) and familiarity with building or supporting a semantic layer for reporting.</span></li><li style=\"color:rgb(14,14,14);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(14,14,14);font-size:10.5pt;white-space:pre-wrap;\">Data Modeling Tools</strong></b><span style=\"color:rgb(14,14,14);font-size:10.5pt;white-space:pre-wrap;\"> - Experience building SQL-based data models in a data warehouse environment. Familiarity with semantic modeling tools (e.g. LookML) and exposure to transformation frameworks such as dbt is a plus. Understanding of ETL/ELT concepts is expected.</span></li><li style=\"color:rgb(14,14,14);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(14,14,14);font-size:10.5pt;white-space:pre-wrap;\">Data Quality &amp; Testing</strong></b><span style=\"color:rgb(14,14,14);font-size:10.5pt;white-space:pre-wrap;\"> - Strong attention to detail in building data validation checks, profiling routines, and root cause analysis workflows to ensure reliable reporting data.</span></li><li style=\"color:rgb(14,14,14);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(14,14,14);font-size:10.5pt;white-space:pre-wrap;\">Communication &amp; Collaboration </strong></b><span style=\"color:rgb(14,14,14);font-size:10.5pt;white-space:pre-wrap;\">- Excellent interpersonal skills with experience working cross-functionally. Ability to translate technical concepts for non-technical audiences and help support adoption of data tools.</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(14,14,14);font-size:10.5pt;white-space:pre-wrap;\">Educational Background &amp; Experience</strong></b><span style=\"color:rgb(14,14,14);font-size:10.5pt;white-space:pre-wrap;\"> - Bachelor’s degree in a quantitative, technical, or analytical field (e.g. Computer Science, Math, Physics, Engineering) or a rigorous coding bootcamp with a portfolio demonstrating the above skills.</span></li></ul><h1 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;padding-left:0px;\"><span style=\"font-size:16pt;white-space:pre-wrap;\">What will set you apart </span></h1><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:10pt;white-space:pre-wrap;\">A Creative Problem Solver </strong></b><span style=\"font-size:10pt;white-space:pre-wrap;\">- Approaches problems with an open mind finding innovative solutions to data wrangling, transformation, and analytics that drive real business impact</span></li><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:10pt;white-space:pre-wrap;\">Comfortable with ambiguity</strong></b><span style=\"font-size:10pt;white-space:pre-wrap;\"> - You’re at ease with incomplete requirements or changing stakeholder needs, and you excel at asking the right questions to find solutions</span></li><li style=\"font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:10pt;white-space:pre-wrap;\">Relevant Tech Stack Experience</strong></b><span style=\"font-size:10pt;white-space:pre-wrap;\"> - Familiarity with tools like Looker, Redshift, S3, and dbt</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><hr><h1 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;padding-left:0px;\"><span style=\"font-size:16pt;white-space:pre-wrap;\">Benefits</span></h1><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:16pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:16pt;white-space:pre-wrap;\">Health &amp; Wellness</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(32,32,34);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,32,34);font-size:10pt;white-space:pre-wrap;\">Medical, dental, and vision insurance (for US)</span></li><li style=\"color:rgb(14,16,26);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Paid time off</span></li><li style=\"color:rgb(14,16,26);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Parental leave</span></li><li style=\"color:rgb(14,16,26);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Employee development &amp; wellness stipend&nbsp;</span></li><li style=\"color:rgb(14,16,26);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Holiday break</span><span style=\"color:rgb(104,0,84);font-size:10pt;white-space:pre-wrap;\"> </span></li><li style=\"color:rgb(14,16,26);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Volunteer time off</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:16pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(14,16,26);font-size:16pt;white-space:pre-wrap;\">Financial &amp; Compensation</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(14,16,26);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Competitive salary</span></li><li style=\"color:rgb(14,16,26);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Performance-based quarterly bonus</span></li><li style=\"color:rgb(14,16,26);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Stock options</span></li><li style=\"color:rgb(14,16,26);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">401(k) retirement plan</span><span style=\"color:rgb(32,32,34);font-size:10pt;white-space:pre-wrap;\"> (for US)</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:16pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(14,16,26);font-size:16pt;white-space:pre-wrap;\"> Workplace &amp; Equipment</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(14,16,26);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Remote-first environment</span></li><li style=\"color:rgb(14,16,26);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">New York office access</span></li><li style=\"color:rgb(14,16,26);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Access to available WeWork spaces&nbsp;</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><hr><h1 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;padding-left:0px;\"><span style=\"font-size:16pt;white-space:pre-wrap;\">Equal Employment Opportunity (EEO) Statement</span></h1><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Adelaide is proud to be an Equal Opportunity Employer, committed to fostering a diverse, equitable, and inclusive workplace where all employees can thrive. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Our commitment to equal opportunity employment extends beyond basic compliance to encompass the active cultivation of a workplace that values different perspectives, backgrounds, and experiences.</span></p>",
      "company": "<meta><h1 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"font-size:16pt;white-space:pre-wrap;\">TL;DR</strong></b></h1><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Fast-growing measurement company looking for an entry level analytics engineer to help bridge the gap between data engineering and data analysis. </span></p><h1 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;padding-left:0px;\"><span style=\"font-size:16pt;white-space:pre-wrap;\">Who we are</span></h1><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Adelaide is the leader in one of the fastest-growing areas of advertising: attention measurement and activation.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Since 2020, we've become the trusted media quality measurement partner for 40% of Fortune 50 brands who rely on our award-winning AU metric to plan smarter campaigns, invest in high-quality inventory, and dive stronger business outcomes. </span><i><em style=\"font-size:10pt;white-space:pre-wrap;\">Adweek </em></i><span style=\"font-size:10pt;white-space:pre-wrap;\">has called Adelaide's AU \"</span><i><em style=\"font-size:10pt;white-space:pre-wrap;\">the attention economy's most widely recognized metric,\" </em></i><span style=\"font-size:10pt;white-space:pre-wrap;\">and </span><i><em style=\"font-size:10pt;white-space:pre-wrap;\">AdExchanger</em></i><span style=\"font-size:10pt;white-space:pre-wrap;\"> named it \"Best measurement/Analytics Capability.\"</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">Our business continues to scale rapidly, outperforming the industry with a 35% three-year CAGR. What began as a 9-person startup in 2019 is now a team of more than 75.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">The past year brought meaningful expansion. We launched the AU ecosystem, giving brands, media agencies, and publishers a unified way to leverage and transact on AU. We broadened our programmatic footprint with custom bidding in GoogleDV360 and pre-bid targeting in The Trade Desk, and grew our partner roster to over 125 platforms and publishers. Leading brands like Dell, Diageo, an Jaguar Land Rover</span><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">—along with premium publishers such as Hearst, Spotify, and The New York Times—continue to demonstrate AU's value across the media lifecycle.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">Adelaide is backed by prominent investors such as Human Ventures (Joe Marchese), Aperiam Ventures (Joe Zawadzki &amp; Eric Franchi), WGI (Jonah Goodhart), and Irwin Gotlieb. </span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(14,16,26);font-size:10pt;white-space:pre-wrap;\">We have a NYC office and a London WeWork, but operates as a remote-friendly company with flexible work options.</span></p><h1 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;padding-left:0px;\"><span style=\"font-size:16pt;white-space:pre-wrap;\">How we work</span></h1><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">We're a team of action-oriented doers—management rolls up their sleeves and contributes every day. Our culture is rooted in curiosity and rigor: opinions are held lightly, debated openly, and strengthened through testing. Everyone is encouraged to play a role in shaping planning and strategy.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:10pt;white-space:pre-wrap;\">We're built on belonging and growth—94% of employees report a strong sense of belonging, and 81% say they’re happy at work.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:10pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>"
    },
    "workLocations": [
      "Canada, United States"
    ],
    "employmentType": {
      "id": "Salaried, full-time",
      "label": "SALARIED_FT"
    },
    "payRangeDetails": [
      {
        "currency": "USD",
        "isRemote": false,
        "location": "United States",
        "rangeEnd": 100000,
        "frequency": "YEAR",
        "rangeStart": 80000
      },
      {
        "currency": "CAD",
        "isRemote": false,
        "location": "Canada",
        "rangeEnd": 100000,
        "frequency": "YEAR",
        "rangeStart": 80000
      }
    ],
    "activeJobApplication": {
      "basicQuestions": [
        {
          "oid": "first_name",
          "title": "First name",
          "required": true,
          "fieldType": "SHORT_ANSWER"
        },
        {
          "oid": "last_name",
          "title": "Last name",
          "required": true,
          "fieldType": "SHORT_ANSWER"
        },
        {
          "oid": "email",
          "title": "Email",
          "required": true,
          "fieldType": "SHORT_ANSWER"
        },
        {
          "oid": "pronouns",
          "title": "Pronouns",
          "required": false,
          "fieldType": "PRONOUN"
        },
        {
          "oid": "current_company",
          "title": "Current company",
          "required": false,
          "fieldType": "SHORT_ANSWER"
        },
        {
          "oid": "phone_number",
          "title": "Phone number",
          "required": true,
          "fieldType": "PHONE_NUMBER"
        },
        {
          "oid": "location",
          "title": "Location (city only)",
          "required": true,
          "fieldType": "SHORT_ANSWER"
        },
        {
          "oid": "resume",
          "title": "Resume",
          "required": true,
          "fieldType": "FILE"
        },
        {
          "oid": "cover_letter",
          "title": "Cover letter",
          "required": false,
          "fieldType": "FILE"
        }
      ],
      "customQuestions": {
        "fields": [
          {
            "oid": "first_name",
            "title": "First name",
            "required": true,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "last_name",
            "title": "Last name",
            "required": true,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "email",
            "title": "Email",
            "required": true,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "pronouns",
            "title": "Pronouns",
            "required": false,
            "fieldData": {},
            "fieldType": "PRONOUN"
          },
          {
            "oid": "current_company",
            "title": "Current company",
            "required": false,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "phone_number",
            "title": "Phone number",
            "required": true,
            "fieldData": {},
            "fieldType": "PHONE_NUMBER"
          },
          {
            "oid": "location",
            "title": "Location (city only)",
            "required": true,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "resume",
            "title": "Resume",
            "required": true,
            "fieldData": {},
            "fieldType": "FILE"
          },
          {
            "oid": "cover_letter",
            "title": "Cover letter",
            "required": false,
            "fieldData": {},
            "fieldType": "FILE"
          }
        ]
      },
      "additionalQuestions": [
        {
          "id": "69f9eba6094574a614fa7a89",
          "form": {
            "sections": [],
            "questions": [
              {
                "tags": [],
                "title": "Are you eligible to work in the U.S.?",
                "canEdit": false,
                "dataType": "select",
                "isPrivate": false,
                "uniqueKey": "92e8db10-3efa-4113-889d-f29135910ed5",
                "intChoices": [],
                "isRequired": true,
                "strChoices": [
                  "Yes",
                  "No"
                ],
                "description": "",
                "questionType": "KNOCKOUT",
                "allowComments": false,
                "isOtherEnabled": false,
                "isMultiSelectEnabled": true
              },
              {
                "tags": [],
                "title": "Why do you want to work at Adelaide?",
                "canEdit": false,
                "dataType": "Text",
                "maxChars": 300,
                "isPrivate": false,
                "uniqueKey": "9e64ce50-56b3-406d-95f1-416bf79e3dc7",
                "intChoices": [],
                "isRequired": true,
                "strChoices": [],
                "questionType": "LONG_ANSWER",
                "allowComments": false,
                "isOtherEnabled": false,
                "isMultiSelectEnabled": true
              },
              {
                "tags": [],
                "title": "Rate your skill level on a 0-5 scale: SQL",
                "canEdit": false,
                "dataType": "select",
                "isPrivate": false,
                "uniqueKey": "4c6a3991-abc5-4816-96af-665c57390928",
                "intChoices": [],
                "isRequired": true,
                "strChoices": [
                  "0",
                  "1",
                  "2",
                  "3",
                  "4",
                  "5"
                ],
                "questionType": "KNOCKOUT",
                "allowComments": false,
                "isOtherEnabled": false,
                "isMultiSelectEnabled": true
              },
              {
                "tags": [],
                "title": "Can you share an example of how you’ve used SQL to solve a problem or uncover insights?",
                "canEdit": false,
                "dataType": "Text",
                "maxLabel": "",
                "minLabel": "",
                "isPrivate": false,
                "uniqueKey": "6de279cb-e54f-4a53-9690-8c79a5719020",
                "intChoices": [],
                "isRequired": true,
                "strChoices": [],
                "questionType": "LONG_ANSWER",
                "allowComments": false,
                "isOtherEnabled": false,
                "isMultiSelectEnabled": true
              },
              {
                "tags": [],
                "title": "Which BI & visualization tools are you familiar with?",
                "canEdit": false,
                "dataType": "select",
                "isPrivate": false,
                "uniqueKey": "990a3e25-8784-4a13-a168-38f59da17046",
                "intChoices": [],
                "isRequired": true,
                "strChoices": [
                  "Tableau",
                  "Looker",
                  "No experience with any tools",
                  "Other (feel free to add in comment section!)"
                ],
                "questionType": "KNOCKOUT",
                "allowComments": true,
                "isOtherEnabled": false,
                "isMultiSelectEnabled": true
              },
              {
                "tags": [],
                "title": "Do you have experience creating or maintaining a data catalog? (e.g., documenting models, metrics, or datasets for internal use)",
                "canEdit": false,
                "dataType": "select",
                "isPrivate": false,
                "uniqueKey": "b577a2a4-803c-4ae6-b916-c2a58ee46444",
                "intChoices": [],
                "isRequired": true,
                "strChoices": [
                  "Yes",
                  "No"
                ],
                "questionType": "KNOCKOUT",
                "allowComments": false,
                "isOtherEnabled": false,
                "isMultiSelectEnabled": true
              },
              {
                "tags": [],
                "title": "Describe your experience creating or maintaining a data catalog (e.g., documenting models, metrics, or datasets for internal use)",
                "canEdit": false,
                "dataType": "Text",
                "isPrivate": false,
                "uniqueKey": "2973bfb0-f8db-4cc2-8c8a-eb414099dbd9",
                "intChoices": [],
                "isRequired": true,
                "strChoices": [],
                "questionType": "LONG_ANSWER",
                "allowComments": false,
                "isOtherEnabled": false,
                "isMultiSelectEnabled": true
              },
              {
                "tags": [],
                "title": "Rate your skill level on a 0-5 scale: Python",
                "canEdit": false,
                "dataType": "select",
                "isPrivate": false,
                "uniqueKey": "794e0e57-2ebe-440f-bb21-41d7105ecd63",
                "intChoices": [],
                "isRequired": true,
                "strChoices": [
                  "0",
                  "1",
                  "2",
                  "3",
                  "4",
                  "5"
                ],
                "questionType": "KNOCKOUT",
                "allowComments": false,
                "isOtherEnabled": false,
                "isMultiSelectEnabled": true
              }
            ],
            "skipLogic": [],
            "deletedSections": [],
            "deletedQuestions": [
              {
                "tags": [],
                "title": "Rate your skill level on a 0-5 scale: dbt",
                "canEdit": false,
                "dataType": "select",
                "isPrivate": false,
                "uniqueKey": "0bb83ec7-3cef-4c46-8db2-da05c5a18c03",
                "intChoices": [],
                "isRequired": true,
                "strChoices": [
                  "0",
                  "1",
                  "2",
                  "3",
                  "4",
                  "5"
                ],
                "questionType": "KNOCKOUT",
                "allowComments": false,
                "isOtherEnabled": false,
                "isMultiSelectEnabled": true
              },
              {
                "tags": [],
                "title": "Can you describe a project where you used Python to automate a task or analyze data? What tools or libraries did you use?",
                "canEdit": false,
                "dataType": "Text",
                "isPrivate": false,
                "uniqueKey": "13cccc48-1e8f-4eb2-bb3a-f283f230c5dc",
                "intChoices": [],
                "isRequired": true,
                "strChoices": [],
                "questionType": "LONG_ANSWER",
                "allowComments": false,
                "isOtherEnabled": false,
                "isMultiSelectEnabled": true
              }
            ]
          },
          "name": "166 - BI Engineer"
        }
      ]
    },
    "hasAIEvaluationsEnabled": true,
    "eeocQuestionnaireEnabled": true,
    "applicationConfirmationTemplate": "672cef60e43551822a2ea8ee",
    "eeocQuestionnaireEnabledForJobPost": true
  },
  "detail_meta": {
    "url": "https://ats.rippling.com/api/v2/board/adelaide/jobs/ec52ace1-3a49-4a49-83ac-6121f2f646bb",
    "http_status": 200,
    "content_type": "application/json",
    "response_bytes": 35072
  },
  "detail_errors": []
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/bc6643be263d3ceb14c70a3810bb02ad7bff92c5?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/ac248438-9ad1-4a39-8be4-33088b39f089JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/ed63619f-ecfd-4a05-85fc-3b65a5a695acJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/bc6643be263d3ceb14c70a3810bb02ad7bff92c5/eventsJSON