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Leidos

Journeyman Data Engineer

Leidos

Journeyman Data Engineer at Leidos supporting DoD enterprise data and analytics. Develop and maintain data pipelines and data models with a focus on national security outcomes.

Posted 4/15/2026full-timeAlexandria • Maryland, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $73,450 - $132,775 per yearWebsite

Tech Stack

Tools & technologies
AirflowETLJavaKafkaPythonSparkTypeScript

About the role

Key responsibilities & impact
  • Develop and maintain data ingestion, transformation (ETL/ELT), and data processing pipelines.
  • Implement data workflows supporting structured and unstructured data across enterprise environments.
  • Support integration of data pipelines with enterprise data platforms, APIs, and downstream analytics applications.
  • Assist in development of data models, schemas, and metadata structures aligned to program standards.
  • Perform data validation, quality checks, and basic data governance implementation.
  • Support integration of data pipelines into DevSecOps CI/CD workflows.
  • Troubleshoot data pipeline issues and assist in performance tuning and optimization.
  • Collaborate with data architects, data scientists, and software engineers to support end-to-end data solutions.
  • Participate in SAFe ceremonies including sprint planning, backlog refinement, sprint reviews, and retrospectives.
  • Document data processes, pipelines, and technical implementations.

Requirements

What you’ll need
  • Active Top Secret (TS) clearance with SCI eligibility.
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline and 4–8 years of relevant experience OR Master’s degree in a related field and 2–6 years of relevant experience.
  • Experience developing and maintaining data pipelines using modern programming languages (e.g., Python, Java, or similar).
  • Experience working with relational and non-relational databases.
  • Experience performing data ingestion, transformation, and processing tasks.
  • Experience working with data tools and platforms (e.g., Spark, Kafka, Airflow, or similar).
  • Experience operating within Agile or SAFe environments supporting enterprise systems.

Benefits

Comp & perks
  • Competitive compensation
  • Health and Wellness programs
  • Income Protection
  • Paid Leave
  • Retirement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data ingestiondata transformationETLELTdata processingdata modelingdata validationdata governanceperformance tuningdata optimization
Soft Skills
collaborationtroubleshootingdocumentation
Certifications
Top Secret clearanceSCI eligibility