Virtasant
51 - 200 employees
🏢 Enterprise
🤝 B2B
Enterprise • B2B
Virtasant is a cloud services and optimization company that helps businesses migrate to, manage, and build on public cloud platforms. They combine a proprietary automation platform with managed services and FinOps expertise to reduce cloud costs (claiming average savings of over 50%), support Cloud FinOps programs, and deliver outcome-based engagements rather than hourly or seat-based billing. Virtasant also provides enterprise AI guidance and partners with major cloud providers (AWS, Google Cloud, Azure) to deliver migration, optimization, and 24/7 managed operations.
Senior Data Engineer, Data Platform
Job not on LinkedIn
🕒 May 9
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Virtasant
51 - 200 employees
🏢 Enterprise
🤝 B2B
Enterprise • B2B
Virtasant is a cloud services and optimization company that helps businesses migrate to, manage, and build on public cloud platforms. They combine a proprietary automation platform with managed services and FinOps expertise to reduce cloud costs (claiming average savings of over 50%), support Cloud FinOps programs, and deliver outcome-based engagements rather than hourly or seat-based billing. Virtasant also provides enterprise AI guidance and partners with major cloud providers (AWS, Google Cloud, Azure) to deliver migration, optimization, and 24/7 managed operations.
📋 Description
• 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
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