
Senior Data Engineer, Data Platform
Virtasant
contract
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Own and scale a modern healthcare data platform
- Build core services, automation, and observability
- Improve pipeline reliability and observability
- Partner closely with data engineering, analytics, and DevOps
- Architect and build core services, automation tools, and integrations that power our client's data ecosystem
Requirements
- 7+ years of experience in data engineering or software development
- Strong programming skills in Python & SQL
- At least one major data platform (Snowflake, BigQuery, Redshift, or similar)
- Develop tooling for schema evolution, data contracts, and developer self-service
- Deep experience with streaming, distributed compute, or S3-based table formats (Spark, Kafka, Iceberg/Delta/Hudi)
- Experience with schema governance, metadata systems, and data quality frameworks
- Understanding of orchestration tools (Airflow, Dagster, Prefect, etc.)
- Solid grasp of CI/CD and Docker
- At least 2 years of experience in AWS
- Experience with building data pipelines using dbt
Benefits
- Totally remote within the contiguous United States
- Stable, long-term independent contract agreement
- Work hours - US Eastern time office hours
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLSnowflakeBigQueryRedshiftSparkKafkaIcebergDeltaHudi