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Über
Own and scale a modern healthcare data platform — building core services, automation, and observability that power real-world patient and provider outcomes Architect and build core services, automation tools, and integrations that power our client's data ecosystem Own high-impact platform components, improve pipeline reliability and observability Partner closely with data engineering, analytics, and DevOps to advance the scalability and developer experience of our client's data platform Requirements:
7+ years of experience in data engineering or software development Strong programming skills in Python & SQL and 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
Sprachkenntnisse
- English
Hinweis für Nutzer
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