bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesCareers Myacuity Icims ComData Engineer - AWS/Databricks

Data Engineer - AWS/Databricks

Careers Myacuity Icims Com · Reston, VA, US · Remote · Active · $3,000–$3,000 / day · iCIMS

Job facts

FieldValue
CompanyCareers Myacuity Icims Com
TitleData Engineer - AWS/Databricks
Normalized title-
Department / teamRegular Full-Time
LocationReston, VA, United States
Work modelRemote / Remote
Employment typeOTHER
Salary$3,000–$3,000 / day
Statusactive
ATS provideriCIMS
Posted / first seen2024-06-06 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Careers Myacuity Icims Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through iCIMS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Reston.Open
Department jobsActive postings in Regular Full-Time.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

CompanyCareers Myacuity Icims Com
Sourcedad3ac4f-84ed-41a7-bf52-c12aaf6f55ba
ATS provideriCIMS

Description

Overview Acuity Inc. is seeking a highly skilled Data Engineer to join our Engineering Team, helping drive the design and delivery of AWS cloud-scale data platforms for federal clients. This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise data modernization. Why Acuity? Are you ready to use your expertise in the areas of IT Modernization, Data Enablement, and Hyperautomation to make a real difference? Join Acuity, Inc., a technology consulting firm that supports federal agencies. We combine industry partnerships and long-term federal experience with innovative technical leadership to support our customers’ critical missions. Responsibilities Build and maintain scalable PySpark-based data pipelines in Databricks notebooks to support ingestion, transformation, and enrichment of structured and semi-structured data. Design and implement Delta Lake tables optimized for ACID compliance, partition pruning, schema enforcement, and query performance across large datasets. Develop ETL and ELT workflows that integrate multiple source systems into a centralized, query-optimized data warehouse architecture. Leverage Spark SQL and DataFrame APIs to implement business rules, dimensional joins, and aggregation logic aligned to warehouse modeling best practices. Collaborate with data architects and engineers to implement cloud-native data solutions on AWS using S3, Glue, RDS, and IAM for secure, scalable storage and access control. Optimize pipeline performance through intelligent partitioning, caching, broadcast joins, and adaptive query tuning. Deploy and version data engineering assets using Git-integrated development workflows and automate deployment with CI/CD tools such as GitLab or Jenkins. Monitor pipeline health, job execution, and cluster utilization using native Databricks tools and AWS CloudWatch, identifying bottlenecks and optimizing cost-performance tradeoffs. Conduct technical discovery and mapping of legacy source systems, identifying required transformations and designing end-to-end data flows. Implement governance practices including metadata tagging, data quality validation, audit logging, and lineage tracking using platform-native features and custom logic. Support ad hoc data access requests, develop reusable data assets, and maintain shared notebooks that meet operational reporting and analytics needs across teams. Qualifications 2+ years of experience in data engineering and Agile analytics 2+ years of experience creating software for retrieving, parsing and processing structured and unstructured data 1 to 2 years of experience building scalable ETL and ELT workflows for reporting and analytics 1 or more years experience building enterprise data engineering solutions in the cloud, with preferred experience with cloud native technologies from AWS and Databricks Experience with data quality, validation frameworks, and storage optimization strategies BA or BS degree Clearance Requirement: Must be US Citizen with an ability to obtain and maintain US Suitability About Acuity At Acuity, your work matters—and so does your experience. We’re a management and technology consulting firm supporting critical federal missions, where you’ll have the opportunity to solve meaningful challenges, work alongside high-performing teams, and make a real impact from day one. Why You’ll Love Working Here: Grow Your Career, Your Way We invest in you with personalized development plans, mentorship, and up to $3,000 annually for training and certifications and up to $3,000 for degree seeking programs—so you can keep building the career you want. Be Part of Something Innovative You’ll work on cutting-edge solutions that support important government missions, in an environment that encourages new ideas and continuous improvement. Thrive in a People-First Culture Collaboration, respect, and support aren’t just values—they’re how we operate. Your voice is heard, your contributions are recognized, and your success is shared. Feel Valued and Rewarded We offer competitive compensation, comprehensive benefits, and a strong focus on work-life balance so you can perform at your best—at work and at home. Join an Award-Winning Team Our employees consistently rank us among the best—earning honors like Best Places to Work (Washington Business Journal, 9+ years) and Top Workplaces (The Washington Post, 2022–2025). Bring Your Whole Self to Work We’re committed to building a diverse, inclusive environment where everyone feels respected, supported, and empowered to succeed. Make Your Impact Join Acuity and be part of a team where your ideas are valued, your growth is supported, and your work drives meaningful outcomes. Learn more: www.myacuity.com Acuity is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Recruiting Scams and Fraud Acuity Inc. has been made aware of fraudulent job postings and individuals impersonating company recruiters. These scams may include fake job offers, requests for sensitive personal information, or demands for payment. Please note: Acuity never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @myacuity.com email address. If you are unsure about a job posting or recruiter, please verify the opportunity on our Careers page . If you believe you have been targeted by a scam or have concerns about the authenticity of a job listing claiming to represent Acuity Inc., please contact us at [email protected] . Protecting your security and trust is important to us. #LI-PA1 #LI-Remote

Full job record

Job ID683be5325693c522dabe308d9a6c0277a675e5c4
Org IDb54e2b55-211a-4009-a997-4874a9485451
Source IDdad3ac4f-84ed-41a7-bf52-c12aaf6f55ba
Board IDdad3ac4f-84ed-41a7-bf52-c12aaf6f55ba
Providericims
Provider Job Key4084
TitleData Engineer - AWS/Databricks
Normalized Title
Statusactive
Activeyes
Location TextReston, VA, US
DepartmentRegular Full-Time
Team
Employment TypeOTHER
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionVA
CityReston
Salary RawOverview Acuity Inc. is seeking a highly skilled Data Engineer to join our Engineering Team, helping drive the design and delivery of AWS cloud-scale data platforms for federal clients. This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise data modernization. Why Acuity? Are you ready to use your expertise in the areas of IT Modernization, Data Enablement, and Hyperautomation to make a real difference? Join Acuity, Inc., a technology consulting firm that supports federal agencies. We combine industry partnerships and long-term federal experience with innovative technical leadership to support our customers’ critical missions. Responsibilities Build and maintain scalable PySpark-based data pipelines in Databricks notebooks to support ingestion, transformation, and enrichment of structured and semi-structured data. Design and implement Delta Lake tables optimized for ACID compliance, partition pruning, schema enforcement, and query performance across large datasets. Develop ETL and ELT workflows that integrate multiple source systems into a centralized, query-optimized data warehouse architecture. Leverage Spark SQL and DataFrame APIs to implement business rules, dimensional joins, and aggregation logic aligned to warehouse modeling best practices. Collaborate with data architects and engineers to implement cloud-native data solutions on AWS using S3, Glue, RDS, and IAM for secure, scalable storage and access control. Optimize pipeline performance through intelligent partitioning, caching, broadcast joins, and adaptive query tuning. Deploy and version data engineering assets using Git-integrated development workflows and automate deployment with CI/CD tools such as GitLab or Jenkins. Monitor pipeline health, job execution, and cluster utilization using native Databricks tools and AWS CloudWatch, identifying bottlenecks and optimizing cost-performance tradeoffs. Conduct technical discovery and mapping of legacy source systems, identifying required transformations and designing end-to-end data flows. Implement governance practices including metadata tagging, data quality validation, audit logging, and lineage tracking using platform-native features and custom logic. Support ad hoc data access requests, develop reusable data assets, and maintain shared notebooks that meet operational reporting and analytics needs across teams. Qualifications 2+ years of experience in data engineering and Agile analytics 2+ years of experience creating software for retrieving, parsing and processing structured and unstructured data 1 to 2 years of experience building scalable ETL and ELT workflows for reporting and analytics 1 or more years experience building enterprise data engineering solutions in the cloud, with preferred experience with cloud native technologies from AWS and Databricks Experience with data quality, validation frameworks, and storage optimization strategies BA or BS degree Clearance Requirement: Must be US Citizen with an ability to obtain and maintain US Suitability About Acuity At Acuity, your work matters—and so does your experience. We’re a management and technology consulting firm supporting critical federal missions, where you’ll have the opportunity to solve meaningful challenges, work alongside high-performing teams, and make a real impact from day one. Why You’ll Love Working Here: Grow Your Career, Your Way We invest in you with personalized development plans, mentorship, and up to $3,000 annually for training and certifications and up to $3,000 for degree seeking programs—so you can keep building the career you want. Be Part of Something Innovative You’ll work on cutting-edge solutions that support important government missions, in an environment that encourages new ideas and continuous improvement. Thrive in a People-First Culture Collaboration, respect, and support aren’t just values—they’re how we operate. Your voice is heard, your contributions are recognized, and your success is shared. Feel Valued and Rewarded We offer competitive compensation, comprehensive benefits, and a strong focus on work-life balance so you can perform at your best—at work and at home. Join an Award-Winning Team Our employees consistently rank us among the best—earning honors like Best Places to Work (Washington Business Journal, 9+ years) and Top Workplaces (The Washington Post, 2022–2025). Bring Your Whole Self to Work We’re committed to building a diverse, inclusive environment where everyone feels respected, supported, and empowered to succeed. Make Your Impact Join Acuity and be part of a team where your ideas are valued, your growth is supported, and your work drives meaningful outcomes. Learn more: www.myacuity.com Acuity is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Recruiting Scams and Fraud Acuity Inc. has been made aware of fraudulent job postings and individuals impersonating company recruiters. These scams may include fake job offers, requests for sensitive personal information, or demands for payment. Please note: Acuity never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @myacuity.com email address. If you are unsure about a job posting or recruiter, please verify the opportunity on our Careers page . If you believe you have been targeted by a scam or have concerns about the authenticity of a job listing claiming to represent Acuity Inc., please contact us at [email protected] . Protecting your security and trust is important to us. #LI-PA1 #LI-Remote
Salary Min3,000
Salary Max3,000
Salary CurrencyUSD
Salary Periodday
Source URLhttps://careers-myacuity.icims.com/jobs/4084/data-engineer---aws-databricks/job
Apply URLhttps://careers-myacuity.icims.com/jobs/4084/data-engineer---aws-databricks/job
First Seen At2026-05-31 18:48:04Z
Last Seen At2026-06-06 08:35:28Z
Last Checked At2026-06-06 08:35:28Z
Last Changed At2026-06-06 08:35:28Z
Inactive At
Source Posted At2024-06-06 08:35:28Z
Source Updated At2026-06-02 16:42:47Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=icims/board=careers-myacuity.icims.com/date=2026-06-06/2026-06-06T08-35-28-068Z-95e303f61b56515d8aa134e18710ae92f3fd1bbddc77a221b6cc90a646655ff9.json
Event Fields
{
  "content_hash": "36c8985549a473f5472ce2740707b9a459cea405fea6eacbea2bf46f230035fa",
  "source_hash": "d38c9640ab5cdf224db91766e29ec82b90a4308711e7752e9f7bcfa2d3aaedc8",
  "last_changed_at": "2026-06-06T08:35:28.995Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Reston, VA, US",
    "city": "Reston",
    "region": "VA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": 3000,
  "salary_min": 3000,
  "inferred_at": "2026-06-06T08:35:28.987Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Reston, VA, US",
      "city": "Reston",
      "region": "VA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": "day",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "json_ld": {
    "url": "https://careers-myacuity.icims.com/jobs/4084/data-engineer---aws-databricks/job",
    "@type": "JobPosting",
    "title": "Data Engineer - AWS/Databricks",
    "@context": "http://schema.org",
    "industry": "Regular Full-Time",
    "datePosted": "2024-06-06T08:35:28.726Z",
    "description": "<h2>Overview</h2>\n<p>Acuity Inc. is seeking a highly skilled Data Engineer to join our Engineering Team, helping drive the design and delivery of AWS cloud-scale data platforms for federal clients. This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise data modernization.</p>\n<h2>Why Acuity?</h2>Are you ready to use your expertise in the areas of IT Modernization, Data Enablement, and Hyperautomation to make a real difference? Join Acuity, Inc., a technology consulting firm that supports federal agencies. We combine industry partnerships and long-term federal experience with innovative technical leadership to support our customers’ critical missions.\n<h2>Responsibilities</h2>\n<ul>\n <li>Build and maintain scalable PySpark-based data pipelines in Databricks notebooks to support ingestion, transformation, and enrichment of structured and semi-structured data.</li>\n <li><p>Design and implement Delta Lake tables optimized for ACID compliance, partition pruning, schema enforcement, and query performance across large datasets.</p></li>\n <li><p>Develop ETL and ELT workflows that integrate multiple source systems into a centralized, query-optimized data warehouse architecture.</p></li>\n <li><p>Leverage Spark SQL and DataFrame APIs to implement business rules, dimensional joins, and aggregation logic aligned to warehouse modeling best practices.</p></li>\n <li><p>Collaborate with data architects and engineers to implement cloud-native data solutions on AWS using S3, Glue, RDS, and IAM for secure, scalable storage and access control.</p></li>\n <li><p>Optimize pipeline performance through intelligent partitioning, caching, broadcast joins, and adaptive query tuning.</p></li>\n <li><p>Deploy and version data engineering assets using Git-integrated development workflows and automate deployment with CI/CD tools such as GitLab or Jenkins.</p></li>\n <li><p>Monitor pipeline health, job execution, and cluster utilization using native Databricks tools and AWS CloudWatch, identifying bottlenecks and optimizing cost-performance tradeoffs.</p></li>\n <li><p>Conduct technical discovery and mapping of legacy source systems, identifying required transformations and designing end-to-end data flows.</p></li>\n <li><p>Implement governance practices including metadata tagging, data quality validation, audit logging, and lineage tracking using platform-native features and custom logic.</p></li>\n <li><p>Support ad hoc data access requests, develop reusable data assets, and maintain shared notebooks that meet operational reporting and analytics needs across teams.</p></li>\n</ul>\n<h2>Qualifications</h2>\n<ul>\n <li>2+ years of experience in data engineering and Agile analytics</li>\n <li>2+ years of experience creating software for retrieving, parsing and processing structured and unstructured data</li>\n <li>1 to 2 years of experience building scalable ETL and ELT workflows for reporting and analytics</li>\n <li>1 or more years experience building enterprise data engineering solutions in the cloud, with preferred experience with cloud native technologies from AWS and Databricks</li>\n <li>Experience with data quality, validation frameworks, and storage optimization strategies</li>\n <li>BA or BS degree</li>\n</ul>\n<p>Clearance Requirement:</p>\n<ul>\n <li>Must be US Citizen with an ability to obtain and maintain US Suitability</li>\n</ul>\n<p> </p>\n<p> </p>\n<p> </p>\n<p><strong>About Acuity</strong></p>\n<p>At Acuity, your work matters—and so does your experience. We’re a management and technology consulting firm supporting critical federal missions, where you’ll have the opportunity to solve meaningful challenges, work alongside high-performing teams, and make a real impact from day one.</p>\n<p> </p>\n<p> </p>\n<p><strong>Why You’ll Love Working Here:</strong></p>\n<p> </p>\n<p><strong>Grow Your Career, Your Way</strong>We invest in you with personalized development plans, mentorship, and up to $3,000 annually for training and certifications and up to $3,000 for degree seeking programs—so you can keep building the career you want.</p>\n<p> </p>\n<p><strong>Be Part of Something Innovative</strong>You’ll work on cutting-edge solutions that support important government missions, in an environment that encourages new ideas and continuous improvement.</p>\n<p> </p>\n<p><strong>Thrive in a People-First Culture</strong>Collaboration, respect, and support aren’t just values—they’re how we operate. Your voice is heard, your contributions are recognized, and your success is shared.</p>\n<p> </p>\n<p><strong>Feel Valued and Rewarded</strong>We offer competitive compensation, comprehensive benefits, and a strong focus on work-life balance so you can perform at your best—at work and at home.</p>\n<p> </p>\n<p><strong>Join an Award-Winning Team</strong>Our employees consistently rank us among the best—earning honors like <em>Best Places to Work</em> (Washington Business Journal, 9+ years) and <em>Top Workplaces</em> (The Washington Post, 2022–2025).</p>\n<p> </p>\n<p><strong>Bring Your Whole Self to Work</strong>We’re committed to building a diverse, inclusive environment where everyone feels respected, supported, and empowered to succeed.</p>\n<p> </p>\n<p><strong>Make Your Impact</strong></p>\n<p>Join Acuity and be part of a team where your ideas are valued, your growth is supported, and your work drives meaningful outcomes.</p>\n<p>Learn more: www.myacuity.com</p>\n<p> </p>\n<p><em>Acuity is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</em></p>\n<p> </p>\n<p> </p>\n<p> </p>\n<p> </p>\n<p><strong>Recruiting Scams and Fraud</strong></p>\n<p>Acuity Inc. has been made aware of fraudulent job postings and individuals impersonating company recruiters. These scams may include fake job offers, requests for sensitive personal information, or demands for payment.</p>\n<p> </p>\n<p>Please note:</p>\n<ul>\n <li><strong>Acuity never asks candidates to pay</strong> for job applications, equipment, or training.</li>\n <li><strong>All official communications</strong> will come from an <strong>@myacuity.com</strong> email address.</li>\n <li>If you are unsure about a job posting or recruiter, please verify the opportunity on our <strong>Careers page</strong>.</li>\n</ul>\n<p>If you believe you have been targeted by a scam or have concerns about the authenticity of a job listing claiming to represent Acuity Inc., please contact us at<strong> [email protected]</strong>. Protecting your security and trust is important to us.</p>\n<p> </p>\n<p> </p>\n<p><em>#LI-PA1</em></p>\n<p><em>#LI-Remote</em></p>",
    "directApply": true,
    "jobLocation": [
      {
        "@type": "Place",
        "address": {
          "@type": "PostalAddress",
          "postalCode": "20190",
          "addressRegion": "VA",
          "streetAddress": "UNAVAILABLE",
          "addressCountry": "US",
          "addressLocality": "Reston",
          "postOfficeBoxNumber": "UNAVAILABLE"
        }
      }
    ],
    "validThrough": "2027-06-06T08:35:28.726Z",
    "employmentType": "OTHER",
    "jobLocationType": "TELECOMMUTE",
    "hiringOrganization": {
      "name": "Acuity INC",
      "@type": "Organization",
      "sameAs": "www.myacuity.com"
    },
    "occupationalCategory": "Hidden (21655)"
  },
  "detail_meta": {
    "url": "https://careers-myacuity.icims.com/jobs/4084/data-engineer---aws-databricks/job?in_iframe=1",
    "http_status": 200,
    "content_type": "text/html;charset=UTF-8",
    "response_bytes": 45229,
    "compact_response_bytes": 8016,
    "original_response_bytes": 45229
  },
  "sitemap_job": {
    "id": "4084",
    "url": "https://careers-myacuity.icims.com/jobs/4084/data-engineer---aws-databricks/job",
    "slug": "data-engineer---aws-databricks",
    "lastmod": "2026-06-02T12:42:47-04:00"
  },
  "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/683be5325693c522dabe308d9a6c0277a675e5c4?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/b54e2b55-211a-4009-a997-4874a9485451JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/dad3ac4f-84ed-41a7-bf52-c12aaf6f55baJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/683be5325693c522dabe308d9a6c0277a675e5c4/eventsJSON