Data Engineer

Leidos · leidos.com

6314 Remote/Teleworker US; 10160 Washington DC Remote Full-time yesterday
Workplace
Remote
Location
6314 Teleworker US; 10160 Washington DC
Who can apply
Remote for people based in the United States

Check your CV against this job

Free · No signup · A 0–100 ATS match score and the keywords you're missing.

Check my CV free

Free to start. Already have an account? Log in

About the role

**This position is contingent upon contract award.**

Leidos is seeking a Data Engineer to support the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (ATLAS) program. The engineer will work with VA customers, data owners, analysts, and platform teams to onboard data sources and deliver reliable, analytics-ready data products using approved Summit engineering and governance patterns.

Remote work within CONUS is subject to VA security and system-access requirements. Must support Eastern Time collaboration and applicable production coverage. Occasional after-hours or weekend support may be required for critical outages or planned maintenance.

Primary Responsibilities

* Assess customer data and analytics requirements with product owners, business analysts, and data stewards; translate needs into scoped ingestion and transformation tasks. * Develop, configure, test, and maintain batch or event-driven data pipelines for new and migrated data sources using approved platform patterns. * Build customer-focused transformations, semantic views, and consumption-ready datasets for reporting, analytics, and data science. * Perform source-to-target reconciliation, freshness checks, data quality validation, and defect remediation; document evidence for customer acceptance. * Implement approved access, metadata, lineage, and security requirements in coordination with governance and security teams. * Monitor pipeline health and performance, troubleshoot failed loads and data discrepancies, and support production incidents and corrective actions. * Document pipeline configurations, dependencies, runbooks, and handoffs; contribute improvements to reusable templates and automation. * Coordinate customer onboarding and technical handover with Summit platform and customer enablement teams.

Required Qualifications

* Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline and 8+ years of relevant experience, including demonstrated expertise designing and implementing complex data engineering solutions. * Hands-on experience developing and troubleshooting production data ingestion, ETL/ELT, transformation, and validation pipelines using SQL and Python. * Experience with cloud-based data platforms and services in Microsoft Azure, AWS, or Google Cloud; understanding of storage, orchestration, and secure data access. * Experience with data modeling, source-to-target reconciliation, data quality testing, and pipeline monitoring or incident troubleshooting. * Ability to document technical designs, data flows, dependencies, and operational procedures and collaborate with engineers, analysts, and data owners. * Demonstrated ability to independently implement data pipelines using established design and deployment patterns. * Ability to obtain and maintain the required VA Public Trust suitability determination (Tier 2/Moderate Risk).

Preferred Qualifications

* Highly Preferred: Direct, hands-on experience supporting the VA Summit Data Platform is highly preferred; experience with other VA enterprise data and analytics environments is also valuable. * Experience working directly with customer teams to translate data requirements into accepted, production-ready datasets. * Hands-on Microsoft Azure data engineering experience, including Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Spark, or comparable services. * Familiarity with Delta Lake/lakehouse architectures, data catalogs and lineage, and governance tools such as Collibra, Immuta, or Starburst. * Experience supporting federal IT systems and complying with security, privacy, and data-access requirements. * Experience with Agile delivery and relevant cloud/data engineering certifications. such as Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer Professional, AWS Certified Data Engineer – Associate, or equivalent.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

November 6, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $87,100.00 - $157,450.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About remote Data Engineer jobs

Open jobs
800 open remote Data Engineer jobs, 147 of them posted in the last 7 days. See all Remote Data Engineer jobs
Typical advertised pay
$128,000 – $190,000 a year for the middle half of the 203 job ads from 140 employers that state a salary in US dollars (median $153,000). This is base pay as advertised, not total compensation. Remote Data Engineer salary
Skills the job ads ask for most
  • Python 77%
  • SQL 77%
  • ETL 76%
  • Data modeling 52%
  • CI/CD 47%
  • Data quality 47%

Share of the 519 newest postings for the role that name each skill. Resume keywords for Data Engineer jobs

Tools and guides for your application

Get matched & apply with FindAJobAI

Upload your resume once. We score every job against your profile, tailor your resume and cover letter, and autofill the application.