Ingest, configure, and transform structured, semi-structured, and unstructured datasets to meet mission partner and stakeholder requirements.
Build, automate, and maintain scalable ETL/ELT pipelines supporting DevOps and rapid analytics delivery.
Maintain data pipeline operations, monitor environment health, and implement automated performance optimization and cost-reduction practices.
Work under general guidance to prototype new data capabilities, evaluate emerging technologies, and deploy end-to-end data solutions.
Collaborate with cross-functional technical teams to troubleshoot pipeline bottlenecks, optimize database structures, and implement secure data retrieval methods.
Implement and automate DoD Security Technical Implementation Guides (STIGs) across data systems to ensure strict compliance and system security.
Requirements
Hands-on experience developing data workflows using Databricks (e.g., Delta Lake, Lakehouse architecture, PySpark).
Experience integrating data pipelines with business intelligence and data visualization platforms, particularly Qlik (Qlik Sense or QlikView).
Experience working within the DoD Advana Data Environment.
Familiarity with deploying and engineering data pipelines across classified networks and multiple security domains.
Experience with CI/CD tools and version control systems such as GitLab, Jira, or Jenkins.
Active Top Secret (TS) clearance with Sensitive Compartmented Information (SCI) eligibility.
Ready to Apply?
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