Key skills
AirflowAmazon RedshiftAWSBigQueryDockerKafkaPythonSparkSQLData EngineeringAnalyticsSnowflakeRedshiftdbtS3CI/CD
About this role
Role Overview
- 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
Tech Stack
- Airflow
- Amazon Redshift
- AWS
- BigQuery
- Docker
- Kafka
- Python
- Spark
- SQL
Benefits
- Totally remote within the contiguous United States
- Stable, long-term independent contract agreement
- Work hours
- US Eastern time office hours