About Virtasant
Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control.
Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale.
About the role
We’re looking for a Senior Data Engineer to join us and work with our client's Data Platform team. Our client is a leading healthcare technology company, dedicated to transforming the patient and provider experience through innovative, data-driven solutions.
You will architect and build core services, automation tools, and integrations that power our client's data ecosystem. You’ll own high-impact platform components, improve pipeline reliability and observability, and partner closely with data engineering, analytics, and DevOps to advance the scalability and developer experience of our client's data platform.
For this role, we can only consider candidates located in contiguous US states.
Also, we are only able to consider candidates who are either US citizens, or Green Card Holders, or sole proprietors of their own LLC company.
We are NOT able to consider candidates on any kind of visa that requires sponsorship, like STEM OPT, H4 EAD, F-1 OPT, L-2S, CPT, etc.
What You’ll Do
Build Automation & Tooling: Develop scalable backend services, APIs, and internal tools to automate data platform workflows (e.g., data onboarding, validation, pipeline orchestration, schema tracking, quality monitoring).
Data Platform Integration: Integrate tools with core data infrastructure, building pipelines (Airflow, Spark, dbt, Kafka, Snowflake, or similar) to expose capabilities via APIs and UIs.
Observability & Governance: Build visualization and monitoring components for data lineage, job health, and quality metrics.
Collaboration: Work cross-functionally with data engineering, product, and DevOps teams to define requirements and deliver end-to-end solutions.
What We’re Looking For
You have to live in the contiguous United States and have all the necessary documentation to work under an independent contractor agreement. We cannot offer sponsorships or sponsorship transfers, so unfortunately, we CANNOT consider candidates on H1B, OPT, EAD, or CPT visas.
Must-Have Experience
7+ years of experience in data engineering or software development with at least 5 years building production-grade data or platform services
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
Nice-to-haves
Experience with data observability, data catalog, or metadata management tools
Experience working with healthcare data (X12, FHIR)
Proven experience in data migration projects (legacy technologies to the latest technologies)
Experience building internal developer platforms or data portals
Understanding of authentication/authorization (OAuth2, JWT, SSO)
Our recruitment process
Recruiter interview (30 min)
Technical Interview (45 min)
Screening interview with the client's hiring manager (30 min)
Client technical interview (45 min)
We strive to move efficiently from step to step to make the recruitment process as fast as possible.
What we offer
Totally remote within the contiguous United States, full-time (40h/week)
Stable, long-term independent contract agreement
Work hours - US Eastern time office hours