Leidos Office of the Chief Information Officer, Chief Data and Analytics Office is seeking a skilled and detail-oriented Data Pipelines Engineer to join our team. The ideal candidate will be responsible for establishing pipelines to move data from sources systems, landing the data in established staging areas, ETL/ELT operations to combine sources and perform data cleansing. This role involves data engineering to establish pipelines for data movement and aggregation to meet specific Data Product specification technical and performance requirements and identifying opportunities for improvement.

Location: This position offers the opportunity to work 100% remote from any U.S. based location.

What will you do in this role? 

• Design, implement, and maintain data pipelines to access data sources 
• Develop processes for staging data, performing ETL/ELT operations and moving data to the appropriate data flows.
• Collaborate with data engineers, data analysts, and business stakeholders to understand data requirements and ensure alignment to Use Case
• Perform design engineering to ensure the data pipeline meets the Product’s Data Contract for currency, throughput, and performance.

Basic Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field and a minimum of 5 years' relevant experience, Associate degree and a minimum of 7 years'; equivalent relevant experience may be considered in lieu of a degree.
• 5 years of experience in Data Engineering or a related field.
• Proficiency in APIs, data cleansing, and ETL processes.
• Strong SQL skills for querying databases and validating data.
• Experience implementing data pipelines for Operational data flows
• Experience with Informatica IDMC CDI
• Familiarity with data governance concepts and best practices.
• Experience with data quality concepts and best practices.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.
• U.S. Citizenship or Permanent Residency is required.

Preferred Qualifications

• Experience with Informatica IDMC CAI

• Experience working with structured, semi-structured and unstructured data
• Data Science and AI training
• Experience with Snowflake Cloud Data Platform
• Experience with dbt coding
• Experience with Python

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:

January 27, 2026

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.