Journeyman Data Engineer

This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Journeyman Data Engineer to support the delivery enhancement and adoption of enterprise data and analytics products used across multiple DoD organizations.

In this role you will work alongside government partners engineers and other industry teammates to translate operational and strategic requirements into scalable production-ready solutions. You will contribute directly to product planning execution and continuous improvementhelping ensure capabilities are delivered efficiently aligned to mission priorities and positioned for sustained success.

This position offers the opportunity to work on a high-visibility enterprise program at the intersection of data analytics and emerging AI technologies. Ideal candidates are motivated by mission impact comfortable operating in complex stakeholder environments and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes.

Primary Responsibilities:

• 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.

Basic Qualifications:

• Active Top Secret (TS) clearance with SCI eligibility.

• Bachelors degree in Computer Science Data Science Engineering Information Systems or related technical discipline and 48 years of relevant experience OR Masters degree in a related field and 26 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.

Preferred Qualifications:

• Active TS/SCI clearance.

• Experience supporting data pipelines across multi-enclave DoD environments.

• Experience working with cloud-based data platforms (AWS Azure or GCP).

• Experience supporting AI/ML data preparation and feature engineering workflows.

• Experience working with containerized environments (Docker Kubernetes).

• Familiarity with data governance metadata management and lineage concepts.

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand 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.