Senior Data Engineer - Remote, End-to-End Data Lake

Voreas Laboratories Inc.

Washington, Northern (District of Columbia, KY)

Hybrid

USD 140,000 - 190,000

Full time

11 days ago
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Benefits offered by this job

Fully remote within the US
End-to-end ownership
Flexible hours

Job summary

Voreas Laboratories Inc. is seeking a Senior Data Engineer to own production-grade data pipelines in a US-remote setup. You will work on lake data, detections, and evidence packaging, ensuring correctness at scale.

Candidates should have hands-on experience with Spark, Iceberg/Delta Lake, containerization, workflow orchestration (Argo Workflows), and event-time correctness. US citizenship required.

Qualifications

  • Spark in production at high volume with tuning experience.
  • Open table format in production: Iceberg or Delta Lake.
  • Containerized someone else's code and scheduled production runs.
  • Workflow orchestration in production (Argo Workflows, Airflow, Dagster, Step Functions).
  • Event-time correctness; understand processing vs event time.
  • Ability to take something that worked in one env and run it autonomously.
  • Comfort with correctness as a matter of degree.
  • Must be a US citizen.

Responsibilities

  • Write Spark jobs to slice lake telemetry down to detector-ready granularity.
  • Containerize detections and pin dependencies for reproducible runs.
  • Orchestrate end-to-end workflows to run at scale and recover from partial failures.
  • Write findings back to canonical tables with provenance (detector, version, window, data).
  • Ensure data quality by validating input schemas and outputs.

Skills

Spark production tuning
Event-time correctness
Production deployment
Remote work experience
US citizenship

Tools

Apache Iceberg
Delta Lake
Amazon EKS
Argo Workflows
Argo CD
Crossplane
Containerization

Job description

Voreas Laboratories Inc. is seeking a Senior Data Engineer to own production-grade data pipelines in a US-remote setup. You will work on lake data, detections, and evidence packaging, ensuring correctness at scale.

Candidates should have hands-on experience with Spark, Iceberg/Delta Lake, containerization, workflow orchestration (Argo Workflows), and event-time correctness. US citizenship required.

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