Data Pipelines Engineer
About The Position
The Leidos Digital Modernization Sector is seeking a Data Pipelines Engineer; this position will allow for full time telework from any U.S. based location. POSITION SUMMARY: The Leidos 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.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or related field and a minimum of 8 years of relevant experience; equivalent relevant experience may be considered in lieu of a degree.
- 4+ years of experience in Data Engineering or a related field.
- Experience with Snowflake Cloud Data Platform.
- 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.
- US 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 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.
Benefits
- Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
