Senior Data Engineer, Data Platform

Virtasant

Senior Data Engineer building core services for healthcare data platform. Empowering real-world patient and provider outcomes through automation and observability in a fully remote role.

Posted 5/9/2026contractRemote • California • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSBigQueryDockerKafkaPythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Totally remote within the contiguous United States
Stable, long-term independent contract agreement
Work hours - US Eastern time office hours

ATS Keywords

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Hard Skills & Tools

PythonSQLSnowflakeBigQueryRedshiftSparkKafkaIcebergDeltaHudi