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Senior Data Engineer

Mission Underwriting Services · Remote (United States), United States · Remote · Active · Rippling ATS

Job facts

FieldValue
CompanyMission Underwriting Services
TitleSenior Data Engineer
Normalized title-
Department / teamCorporate
LocationUnited States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerRippling ATS
Posted / first seen2026-04-09 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Mission Underwriting Services.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 Corporate.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

CompanyMission Underwriting Services
Sourcea054a084-5a55-4c02-a08c-33ea30578e86
ATS providerRippling ATS

Description

company About Mission Underwriting Services At Mission Underwriters, we provide the capital, issuing paper, and reinsurance access you need to launch your own Program Administrator (PA) business quickly and efficiently. We offer non-recourse capital for qualified underwriters, giving you a manageable risk profile with potential equity upside. By taking care of administrative complexities like compliance, risk management, accounting, and HR, we free you to focus on what you do best—underwriting and distribution. Our turnkey platform gets you into the market in just a few months, minimizing disruption to your key relationships. With access to our network of highly rated issuing carriers and reinsurance partners, you can secure coverage with less stress and uncertainty. Built from the ground up, our purpose-driven technology simplifies workflows, enhances responsiveness, and eliminates the burden of outdated legacy systems. What We Offer: Remote First Work Environment (US Based) Medical, Dental, Vision 401K, 401K Match Life and Disability Benefits Unaccrued Paid Time Off 11 Paid Holidays Employee Discounts Employee Assistance Program Educational Assistance Program Employee Referral Program Paid Parental Leave role Please limit resume length to 2 pages maximum for consideration About the Role The Senior Data Engineer will play a key role in designing, implementing, and optimizing Mission’s data infrastructure as part of our modern data platform initiative. This role will also play a critical part in building and optimizing Databricks-based data pipelines using PySpark across Mission’s raw-to-gold data layers. This hands-on engineering role will focus on building scalable data pipelines, enabling a centralized enterprise data warehouse, and supporting business reporting needs. The ideal candidate will collaborate across technology, operations, product, and analytics teams to create high-quality, governed, and reusable data assets, while supporting a long-term architecture aligned with Mission’s growth. This role is highly technical and focused on execution and is ideal for a data engineer who thrives in fast-paced environments and is passionate about data quality, performance, and scalability. What You'll Do Build and optimize Databricks and PySpark pipelines that support data ingestion, transformation, and raw-to-gold layer processing across environments. Design and implement scalable data pipelines to ingest, transform, and store data from third-party vendors and internal systems using APIs, files, and databases. Build and maintain a cloud-based data warehouse solution in partnership with architects, ensuring clean, normalized, and performant data models. Establish and monitor reliable data ingestion processes across systems with varying grain and cadence, ensuring data quality and completeness. Collaborate with API and integration teams to develop secure, robust data exchange processes with external vendors and internal services. Set up and manage data connections from the warehouse to BI tools (e.g., Power BI, Looker, Tableau) to enable self-service analytics and dashboarding. Document data flows, schemas, and definitions, and help drive data governance and standardization efforts across the organization. Implement data validation, cleansing, and enrichment processes to ensure high-quality data for financial reporting and analytics Ensure compliance with data standards, regulatory requirements (e.g., NAIC, SOX), and data security best practices Provide technical leadership in data engineering best practices, including version control, CI/CD for data pipelines, testing, and observability. Build initial dashboards in BI tools. Give directions to data engineers to ensure that projects are completed on time and to a high standard. Required Qualifications 5+ years of experience in data engineering, data warehousing, or a related field with at least 1-2 years leading implementation projects. 3+ years of experience in the commercial insurance industry. Hands-on experience with Databricks and PySpark, including building, maintaining, and optimizing production data pipelines. Hands on experience with Azure data services. Strong SQL and performance tuning skills in Microsoft SQL Server environments. Experience designing data warehouses or data marts with a focus on dimensional modeling and analytics-ready schemas. Fluent in range of data ingestion: RESTful APIs, JSON/XML ingestion, flat files, message queues, and CDC patterns. Understanding of data governance, metadata management, and access control. Familiarity with version control (GitLab) and CI/CD pipelines for data workflows. Experience working with BI tools like Power BI, Looker, or Tableau, including building dashboards or semantic layers. Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience. Demonstrated ability to translate business needs into scalable data systems and design. Preferred Qualification Experience with data cleanup, fuzzy matching, or AI-driven normalization. Strong communication skills and ability to work cross-functionally with product, engineering, and analytics teams. Ability to travel up to 10% of the year. Knowledge, Skills and Abilities Deep understanding of data warehousing principles, dimensional modeling, and ETL/ELT architecture, with hands-on experience building analytics-ready structures in Azure SQL and SSMS. Understand core business concepts within the commercial property and casualty insurance industry to guide data modeling and transformation efforts. Proficient in developing scalable data pipelines using Azure Data Factory and SQL, with strong debugging and optimization skills. Skilled in integrating with diverse data sources, including REST APIs, files, and third-party systems, and handling complex data ingestion across varying levels of granularity. Familiar with core Azure services and their role in secure, cloud-native data engineering workflows. Able to connect and model data for downstream BI tools (Power BI, Tableau, Looker), supporting self-service reporting and building initial dashboards when needed. Strong communicator and collaborator who can translate business needs into technical solutions, document data workflows, and mentor team members on best practices. Additional Information This is a remote position. Planned, in-office activities may be required on occasion (typically 2-4x per year). You must live in the United States and be authorized to work in the United States without requirement of employment sponsorship/visa.

Full job record

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Org ID9e0021fa-bb69-48c4-a897-caa666acb432
Source IDa054a084-5a55-4c02-a08c-33ea30578e86
Board IDa054a084-5a55-4c02-a08c-33ea30578e86
Providerrippling
Provider Job Keybb5b8910-9c7d-47ae-b40d-c54b15bc381a
TitleSenior Data Engineer
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Statusactive
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Location TextRemote (United States), United States
DepartmentCorporate
Team—
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region—
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Salary Raw—
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Source URLhttps://ats.rippling.com/mission-underwriting-services/jobs/bb5b8910-9c7d-47ae-b40d-c54b15bc381a
Apply URLhttps://ats.rippling.com/mission-underwriting-services/jobs/bb5b8910-9c7d-47ae-b40d-c54b15bc381a
First Seen At2026-05-29 07:15:15Z
Last Seen At2026-06-06 08:45:58Z
Last Checked At2026-06-06 08:45:58Z
Last Changed At2026-06-06 08:45:58Z
Inactive At—
Source Posted At2026-04-09 15:46:54Z
Source Updated At—
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      "role": "<meta><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;text-align:center;\"><b><strong style=\"white-space:pre-wrap;\">Please limit resume length to 2 pages maximum for consideration</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:18pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">About the Role</strong></b></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:black;background-color:white;white-space:pre-wrap;\">The Senior Data Engineer will play a key role in designing, implementing, and optimizing Mission’s data infrastructure as part of our modern data platform initiative. This role will also play a critical part in building and optimizing Databricks-based data pipelines using PySpark across Mission’s raw-to-gold data layers. This hands-on engineering role will focus on building scalable data pipelines, enabling a centralized enterprise data warehouse, and supporting business reporting needs. The ideal candidate will collaborate across technology, operations, product, and analytics teams to create high-quality, governed, and reusable data assets, while supporting a long-term architecture aligned with Mission’s growth. This role is highly technical and focused on execution and is ideal for a data engineer who thrives in fast-paced environments and is passionate about data quality, performance, and scalability.</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;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:18pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">What You'll Do</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=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Build and optimize Databricks and PySpark pipelines that support data ingestion, transformation, and raw-to-gold layer processing across environments.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Design and implement scalable data pipelines to ingest, transform, and store data from third-party vendors and internal systems using APIs, files, and databases.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Build and maintain a cloud-based data warehouse solution in partnership with architects, ensuring clean, normalized, and performant data models.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Establish and monitor reliable data ingestion processes across systems with varying grain and cadence, ensuring data quality and completeness.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Collaborate with API and integration teams to develop secure, robust data exchange processes with external vendors and internal services.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Set up and manage data connections from the warehouse to BI tools (e.g., Power BI, Looker, Tableau) to enable self-service analytics and dashboarding.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Document data flows, schemas, and definitions, and help drive data governance and standardization efforts across the organization.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Implement data validation, cleansing, and enrichment processes to ensure high-quality data for financial reporting and analytics</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Ensure compliance with data standards, regulatory requirements (e.g., NAIC, SOX), and data security best practices</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Provide technical leadership in data engineering best practices, including version control, CI/CD for data pipelines, testing, and observability.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Build initial dashboards in BI tools.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Give directions to data engineers to ensure that projects are completed on time and to a high standard.</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;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Required Qualifications</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=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">5+ years of experience in data engineering, data warehousing, or a related field with at least 1-2 years leading implementation projects.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">3+ years of experience in the commercial insurance industry.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Hands-on experience with Databricks and PySpark, including building, maintaining, and optimizing production data pipelines.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Hands on experience with Azure data services.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Strong SQL and performance tuning skills in Microsoft SQL Server environments.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience designing data warehouses or data marts with a focus on dimensional modeling and analytics-ready schemas.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Fluent in range of data ingestion: RESTful APIs, JSON/XML ingestion, flat files, message queues, and CDC patterns.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Understanding of data governance, metadata management, and access control.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Familiarity with version control (GitLab) and CI/CD pipelines for data workflows.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience working with BI tools like Power BI, Looker, or Tableau, including building dashboards or semantic layers.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Demonstrated ability to translate business needs into scalable data systems and design.</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;\"><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=\"font-size:18pt;white-space:pre-wrap;\">Preferred Qualification</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=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience with data cleanup, fuzzy matching, or AI-driven normalization.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Strong communication skills and ability to work cross-functionally with product, engineering, and analytics teams.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Ability to travel up to 10% of the year.</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;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:18pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Knowledge, Skills and Abilities </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=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Deep understanding of data warehousing principles, dimensional modeling, and ETL/ELT architecture, with hands-on experience building analytics-ready structures in Azure SQL and SSMS.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Understand core business concepts within the commercial property and casualty insurance industry to guide data modeling and transformation efforts.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Proficient in developing scalable data pipelines using Azure Data Factory and SQL, with strong debugging and optimization skills.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Skilled in integrating with diverse data sources, including REST APIs, files, and third-party systems, and handling complex data ingestion across varying levels of granularity.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Familiar with core Azure services and their role in secure, cloud-native data engineering workflows.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Able to connect and model data for downstream BI tools (Power BI, Tableau, Looker), supporting self-service reporting and building initial dashboards when needed.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Strong communicator and collaborator who can translate business needs into technical solutions, document data workflows, and mentor team members on best practices.</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;\"><b><strong style=\"color:black;background-color:white;font-size:10.5pt;white-space:pre-wrap;\">Additional Information</strong></b></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;text-align:justify;\"><span style=\"color:black;background-color:white;font-size:11pt;white-space:pre-wrap;\">This is a remote position. Planned, in-office activities may be required on occasion (typically 2-4x per year).</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;text-align:justify;\"><span style=\"color:black;background-color:white;font-size:11pt;white-space:pre-wrap;\">You must live in the United States and be authorized to work in the United States without requirement of employment</span><span style=\"font-size:11pt;white-space:pre-wrap;\"> </span><span style=\"color:black;background-color:white;white-space:pre-wrap;\">sponsorship/visa.</span></p>",
      "company": "<meta><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=\"font-size:18pt;white-space:pre-wrap;\">About Mission Underwriting Services</strong></b></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=\"white-space:pre-wrap;\">&nbsp;</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=\"white-space:pre-wrap;\">At Mission Underwriters, we provide the capital, issuing paper, and reinsurance access you need to launch your own Program Administrator (PA) business quickly and efficiently. We offer non-recourse capital for qualified underwriters, giving you a manageable risk profile with potential equity upside. By taking care of administrative complexities like compliance, risk management, accounting, and HR, we free you to focus on what you do best—underwriting and distribution. Our turnkey platform gets you into the market in just a few months, minimizing disruption to your key relationships. With access to our network of highly rated issuing carriers and reinsurance partners, you can secure coverage with less stress and uncertainty. Built from the ground up, our purpose-driven technology simplifies workflows, enhances responsiveness, and eliminates the burden of outdated legacy systems.</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=\"font-size:13pt;white-space:pre-wrap;\">&nbsp;</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;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">What We Offer:</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=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span 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