Data wXyWH2Jz - Remote — United States

About the Company

Leidos is an industry and technology leader serving government and commercial customers through digital and mission-focused innovations. Headquartered in Reston, Virginia, the company has approximately 47,000 employees worldwide and reported annual revenue of approximately $16.7 billion for the fiscal year ended January 3, 2025.

About the Role

Leidos is seeking a Data Engineer to support the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (ATLAS) program. This position is contingent upon contract award.

The Data 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 practices.

The role involves developing and maintaining data pipelines, transforming data for reporting and analytics, validating data quality, and supporting production operations.

Key Responsibilities

• Assess customer data and analytics requirements with product owners, business analysts, and data stewards, translating business needs into defined 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, data freshness checks, and data quality validation, and resolve defects while documenting 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 data loads and 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 handovers with Summit platform and customer enablement teams.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline, along with 8+ years of relevant experience.

• Demonstrated expertise in 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 cloud 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.

• Ability to 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

• 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 and 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.

• Relevant cloud or data engineering certifications, such as Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer Professional, AWS Certified Data Engineer – Associate, or equivalent.

Work Location and Arrangement

Remote work within the continental United States (CONUS) is permitted, subject to VA security and system-access requirements.

The position requires:

• Availability for collaboration during Eastern Time hours.

• Support for applicable production coverage.

• Occasional after-hours or weekend support for critical outages or planned maintenance.

Salary and Compensation

The pay range for this position is $87,100–$157,450.

Leidos provides compensation packages designed to reflect the importance of the work performed for its customers.

Benefits

• Health and wellness programs.

• Income protection.

• Paid leave.

• Retirement benefits.

• Competitive compensation.

Equal Employment Opportunity

Leidos provides equal employment opportunities to all qualified applicants without discrimination based on sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

The company also considers qualified applicants with criminal histories in accordance with applicable laws.

Employment Scam Awareness

Leidos will never request payment-related information or ask candidates to provide money during the application process. The company will not advance money through checks or money orders before work begins.

Official recruitment communications will come through the •••••••• automated email system, not free commercial email services or messaging platforms such as WhatsApp or Telegram.

Applicants concerned about suspicious communications claiming to be from Leidos can contact ••••••••. Individuals who believe they have been targeted by a scam should contact local law enforcement and report the incident to the U.S. Federal Trade Commission.