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Senior Data Engineer, Data Platform

šŸ‡ŗšŸ‡ø United States

Management

Redshift

Python

Docker

AWS

Snowflake

Backend

Cybersecurity

Devops

SQL

Analyst

Senior Data Engineer, Data Platform

from šŸ‡ŗšŸ‡ø United States

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 theĀ role

We’re looking for a Senior Data Engineer to join us andĀ work with our client's Data Platform team. Our client isĀ 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,Ā improve pipeline reliability and observability, and partner closely with data engineering, analytics, and DevOps to advance the scalability and developer experience of our client'sĀ 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: Developscalable backend services, APIs, and internal tools toautomate data platform workflows (e.g.,data onboarding,validation,pipeline orchestration,Ā 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 toĀ define requirements and deliver end-to-end solutions.


What We’re Looking For

  • You have to live in thecontiguous 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 indata engineering orsoftware development withat least 5 years building production-grade data or platform services

  • Strong programming skills inPython & SQLandat least one major data platform(Snowflake, BigQuery, Redshift, or similar)

  • Developtooling for schema evolution,data contracts, anddeveloper self-service

  • Deep experience withstreaming, distributed compute, or S3-based table formats (Spark, Kafka, Iceberg/Delta/Hudi).

  • Experience withschema governance, metadata systems, and data quality frameworks.

  • Understanding oforchestration tools (Airflow, Dagster, Prefect, etc.)

  • Solid grasp ofCI/CDandĀ Docker

  • At leastĀ 2 years of experience inAWS

  • Experience withbuilding data pipelines usingdbt

Nice-to-haves
  • Experience withdata observability, data catalog, ormetadata management tools

  • Experience working withhealthcare data (X12, FHIR)

  • Proven experience indata migration projects (legacy technologies to the latest technologies)

  • Experiencebuilding 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

by @maxrusakovic