Data Systems Engineer
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Job Description
Data Systems Engineer developing data systems for simulation outputs and AI-enabled workflows for Onebrief. Collaborate across data pipelines, analytics, and infrastructure in a remote role.
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.
Requirements:
- 3 - 7 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.
- U.S. Citizenship is mandatory for this position along with willingness and ability to get security clearance.
Benefits:
- Equity: Share in the company's success.
- Flexible Work Environment: Remote-first organization with flexible work hours and unlimited PTO.
- Comprehensive Health Coverage: Health, dental, vision, and life insurance.
- Retirement Plan: 401(k) plan with company match to secure your future.
- Parental Leave: 8 weeks at 100% regardless of state.
- Company Retreats: Annual company summit trips.
- Home Office Budget: $1,000 per year for home office improvements.
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