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DATA ENGINEER
Defense Logistics Agency · Posted 2 days ago
Hybrid Battle Creek, MI $126K – $187K Apply by Oct 10, 2026 Information Technology Management ENTJINTJINTPISTJ EngineeringData
Apply for this job → About the Role
See below for important information regarding this job. Position will be filled at any of the locations listed below. Site specific salary information as follows: Battle Creek, MI: $125,776- $163,514 Columbus, OH: $131,245- $170,624 Dayton, OH: $130,461 - $169,604 Fort Belvoir, VA: $143,913- $187,093 New Cumberland, PA: $143,913- $187,093 Ogden, UT: $125,776- $163,514 Philadelphia, PA: $138,595- $180,178 Richmond, VA: $131,385- $170,806
What You'll Do
- →Architects, develops, tests, and maintains scalable data pipelines to ingest structured and unstructured data from disparate DLA, DoD, and commercial sources using complex ETL/ELT processes.
- →Develops resilient batch and real-time data solutions using Python, Scala, or Java, and frameworks like Apache Spark and Airflow for strategic reporting and operational AI model serving.
- →Implements CI/CD practices for automated testing and deployment, troubleshooting pipeline executions to optimize performance, integrity, and cost-effectiveness for DLA systems.
- →Leads the design and administration of data warehouse and data lake structures, implementing dimensional and data vault models to support business intelligence and AI/ML use cases.
- →Administers and optimizes cloud data warehouses such as Snowflake, Redshift, or BigQuery, managing partitioning, indexing, and clustering strategies for high-performance analytics.
- →Enforces data governance, data quality, and enterprise data catalogs, collaborating with security teams to apply access controls, encryption, and data masking for CUI and Secret data.
- →Serves as principal technical advisor for the AI and Analytics CoE, translating data requirements from data scientists, ML engineers, and analysts into technical specifications for logistics systems.
- →Provides guidance on data architecture best practices, mentors junior technical staff, establishes coding standards, and conducts peer reviews for data engineering projects.
- →Communicates complex technical concepts regarding data architecture and pipeline design to non-technical stakeholders and senior leadership to guide strategic organizational decisions.
- →Researches, evaluates, and prototypes emerging data technologies and architectural patterns, conducting technical assessments and proofs-of-concept for cloud services and processing engines.
- →Leads technical planning and migration strategies to modernize legacy systems, transitioning data workloads to cloud-native platforms while maintaining expertise in industry trends.
Requirements
- ✓Substitution of education may not be used in lieu of specialized experience for this grade level.
Personality Fit
Job ID: 50312b7d-c7b3-48cd-b0c9-e4b28dee3fe3
Posted via USAJobs