Data Pipelines Engineer

Leidos

3d•Remote

About The Position

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. 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 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. Leidos Leidos is a Fortune 500® innovation company rapidly addressing the world's most vexing challenges in national security and health. The company's global workforce of 47,000 collaborates to create smarter technology solutions for customers in heavily regulated industries. Headquartered in Reston, Virginia, Leidos reported annual revenue of approximately $15.4 billion for the fiscal year ended December 29, 2023. For more information visit www.Leidos.com. 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 here. Securing Your Data Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to [email protected]. Commitment and Diversity 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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.