Data Engineer, Battle Road
About The Position
We're looking for a Data Engineer who enjoys working across data pipelines, analytics, and infrastructure to turn complex systems into usable insight. You'll help design, build, and operate the data platform that underpins simulation outputs, analytics, and AI-enabled workflows across AtomEngine. In this role, you will be a key contributor on a team responsible for data infrastructure, pipelines, reliability, dashboards, and ad-hoc analysis. You will work on the systems that ingest, transform, store, and expose large volumes of simulation data—enabling analytics, scenario comparison, AI/ML workflows, and explainability across the platform. You will collaborate closely with simulation engineers, AI engineers, and product teams to ensure that data is accurate, accessible, performant, and trustworthy, and to translate analytical and operational needs into durable platform capabilities.
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
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees
