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Mid LevelFull-timePythonRustAWSGCPAzureGitAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
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.
Key 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 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
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