2025-05-10
Leidos
Other
/yr
full-time
part-time
employee
contract
Remote
20170
United States
Description
Leidos Office of the Chief Information Officer, Chief Data and Analytics Office is seeking a skilled and detail-oriented Data Operations 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 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 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 10 years' relevant experience, Associate degree and a minimum of 12 years'; equivalent relevant experience may be considered in lieu of a degree.
10 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
Familiarity with data governance 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 working with structured, semi-structured and unstructured data
Data Science and AI training
Experience with Snowflake Cloud Data Platform
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.
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.
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