Data Engineer

Description Leidos is seeking a Data Engineer to support the National Healthcare Safety Network (NHSN) support contract on a strategic modernization initiative to migrate SAS datasets, ETL processes, and analytical workloads to the Databricks Lakehouse Platform. This role will be responsible for converting legacy SAS data processing into scalable PySpark and SparkR solutions while ensuring data integrity, performance, and business rule consistency. The ideal candidate has experience with both SAS and modern distributed data processing frameworks and can translate complex SAS workflows into optimized Databricks implementations. Primary Responsibilities: Migration of SAS datasets, ETL workflows, and data transformation logic to Databricks. Convert SAS programs, DATA steps, PROC SQL, and macros into PySpark and SparkR code. Develop scalable data pipelines using Apache Spark within the Databricks environment. Design and optimize Delta Lake tables for performance, reliability, and scalability. Validate migrated datasets through automated reconciliation and data quality testing. Partner with business analysts, data scientists, and application teams to ensure functional equivalence between SAS and Databricks solutions. Optimize Spark jobs for performance, partitioning, and resource utilization. Develop reusable frameworks, utilities, and coding standards to accelerate migration efforts. Document data lineage, transformation logic, and technical designs. Participate in code reviews and implement CI/CD practices using Git and Azure DevOps (or similar tools). Required Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related discipline. 5+ years of experience in Data Engineering or ETL development. Strong experience developing with SAS (Base SAS, DATA Step, PROC SQL, SAS Macros). Hands-on experience with Databricks. Strong proficiency in PySpark and/or SparkR. Advanced SQL development skills. Experience with Delta Lake architecture and Spark optimization techniques. Experience building and maintaining enterprise-scale data pipelines. Knowledge of data modeling, data warehousing, and distributed computing principles. Experience with Git and CI/CD deployment processes. Preferred Qualifications: Previous experience leading enterprise SAS modernization initiatives. Experience migrating SAS datasets and business logic to Databricks. Experience with Unity Catalog, Delta Live Tables, and Databricks Workflows. Familiarity with Azure Data Factory, Azure Synapse, or other cloud-native data integration services. Experience working with large-scale healthcare, insurance, or financial datasets. Knowledge of data governance, security, and regulatory compliance requirements. Experience implementing automated testing and data validation frameworks. 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: July 29, 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 Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at View email address on click.appcast.io. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to 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. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

• Remote
• J-18808-Ljbffr Leidos Inc