Design, build, and operate scheduled and event-driven data pipelines for simulation outputs, telemetry, logs, dashboards, and scenario metadata
Build and operate data storage systems (structured and semi-structured) optimized for scale, versioning, and replay
Support analytics, reporting, and ML workflows by exposing clean, well-documented datasets and APIs
Enable scenario comparison, lineage, and traceability across time, versions, and parameter sets
Work with engineers to define data contracts and schemas between the simulation environment and downstream systems
Monitor and improve data reliability, performance, and availability

Requirements

3+ years of professional experience as a Data Engineer or Data Platform Engineer
Strong experience building production data pipelines (batch and/or streaming)
Proficiency in Python, SQL, and at least one data processing framework
Experience with cloud-based data infrastructure (AWS, GCP, or Azure)
Familiarity with data modeling, schema design, and data validation
Experience working with engineers and analysts
Ability to reason about data as a product, not a byproduct
Due to federal contract requirements, U.S. Citizenship is mandatory for this position

Benefits

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

data pipelinesPythonSQLdata processing frameworkdata modelingschema designdata validationanalyticsreportingML workflows

collaborationreasoning about data as a product