- Salary
- $87k – $157k
- Location
- 6314 Remote/Teleworker US, United States of America · Atlanta, GA
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Experience
- 5+ years
- Education
- Master
- Clearance
- Required
- Source
- Workday
Description
Leidos is seeking a Data Engineer to support CDC DHP data modernization, analytics, and cloud-based data management initiatives. This role provides hands-on technical expertise for development, migration, testing, validation, and sustainment of analytical workflows supporting surveillance, research, reporting, and operational activities.
Primary Responsibilities:
- Design, develop, and maintain scalable data pipelines and integration solutions.
- Support migration and modernization of SAS-based analytics and reporting workflows.
- Develop ETL/ELT processes and cloud-based data engineering solutions.
- Implement automated testing, validation, and monitoring processes.
- Support data ingestion, transformation, and delivery across multiple analytical environments.
- Develop reusable code, technical documentation, and deployment procedures.
- Collaborate with architects, analysts, and program stakeholders to support modernization objectives.
Basic Qualifications:
- Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or related discipline.
- 5+ years of experience in data engineering, analytics, software development, or cloud-based data management.
- Strong SQL skills.
- Hands-on experience with Python, R, SAS, PySpark, or comparable technologies.
- Experience developing ETL/ELT processes and data pipelines.
- Strong troubleshooting and problem-solving skills.
- Ability to obtain/maintain a Public Trust Security Clearance
Preferred Qualifications:
- Experience supporting CDC, HHS, or public health data systems.
- Experience supporting SAS-to-Python, SAS-to-R, or similar modernization initiatives.
- Experience with EDAV (Databricks, Azure Data Factory, Delta Lake, R Studio, PowerBI, Tableau), 1CDP (Palantir Foundry), Azure SQL, Azure DevOps, or similar platforms.
- Experience supporting migration from SAS to other analytics solutions (e.g., R, Python, Databricks, Palantir Foundry).
- Experience supporting dual-run validation, equivalency testing, and controlled migration approaches.
- Experience with Git, CI/CD, DevOps, and cloud deployment practices.
- Preferred Certifications: Databricks Data Engineer Associate/Professional, Azure Data Engineer Associate (DP-203), Azure AI Engineer Associate, or equivalent.
- Master's degree preferred.
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 17, 2026For 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 - $157,450.00The 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.
