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About
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
Languages
- English
Notice for Users
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