Senior Software Engineer, Data Platform

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 Software 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.

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 USA and have all the necessary documentation to work under an independent contractor agreement.

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
  on
  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
• Client technical interview
• A follow-up technical interview

We strive to move efficiently from step to step so that the recruitment process can be as fast as possible.

What we offer

• Totally remote within the USA, full-time (40h/week)
• Work hours - US Eastern time office hours