Senior Data Engineer, Data Platform

Virtasant; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Totally remote

Stable, long-term contract

Work hours – US Eastern time

Job summary

Virtasant is seeking a Senior Data Engineer to work on client Data Platform. Candidates must have 7+ years in data engineering with strong expertise in Python, SQL, and data pipeline tools like Airflow and Snowflake. This fully remote role requires a solid understanding of cloud technologies like AWS and proven experience in building scalable data solutions. The position offers a stable contract and works during US Eastern time hours.

Qualifications

• 7+ years of experience in data engineering or software development.
• Strong programming skills in Python and SQL.
• Deep experience with streaming and distributed compute.
• Solid grasp of CI/CD and Docker.
• At least 2 years of experience in AWS.

Responsibilities

• Develop scalable backend services, APIs, and internal tools.
• Integrate tools with core data infrastructure.
• Build visualization and monitoring components for data lineage.
• Work cross-functionally with data engineering and DevOps teams.

Skills

Python

SQL

Airflow

Spark

Kafka

Snowflake

CI/CD

Docker

dbt

Job description

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.

Location requirements

For this role, we can only consider candidates located in contiguous US states. 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.

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).

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