Senior Data Platform Engineer – Healthcare Tech (Hybrid)

Harvey Nash Inc.

New York (NY)

Hybrid

USD 190,000 - 210,000

Full time

3 days ago
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Job summary

Harvey Nash Inc. is seeking a Senior Software Engineer for the Data Platform in New York. You will own core data pipelines and warehouse infrastructure for healthcare tech, driving end-to-end design, build, and operation of production-grade systems.

Ideal candidates have 5+ years in production data environments, strong Python/SQL, Snowflake or similar warehouses, and experience with orchestration tools (Airflow/Tempor al/Prefect). AWS, dbt, and observability tools like Datadog are a plus.

Qualifications

  • 5+ years building and operating production data systems.
  • Strong hands-on Python and SQL.
  • Experience with Snowflake or other modern cloud data warehouses.
  • Data orchestration with Temporal, Airflow, Prefect or similar.
  • Strong understanding of data modeling, pipeline reliability, backfills, idempotency, and production troubleshooting.
  • Experience with AWS, dbt/SQLMesh, and observability tools like Datadog.

Responsibilities

  • Own major engineering workstreams end to end, designing, building, and operating production-grade data pipelines and warehouse infrastructure.
  • Take ownership of architecture decisions and deliver foundational data systems.
  • Collaborate across teams to power healthcare technology and revenue cycle management.
  • Remain hands-on in production to troubleshoot and optimize data platforms.

Skills

Python
SQL
Data pipelines
Production troubleshooting
Data modeling

Tools

Snowflake
Temporal
Airflow
Prefect
dbt/SQLMesh
AWS
Datadog

Job description

Harvey Nash Inc. is seeking a Senior Software Engineer for the Data Platform in New York. You will own core data pipelines and warehouse infrastructure for healthcare tech, driving end-to-end design, build, and operation of production-grade systems.

Ideal candidates have 5+ years in production data environments, strong Python/SQL, Snowflake or similar warehouses, and experience with orchestration tools (Airflow/Tempor al/Prefect). AWS, dbt, and observability tools like Datadog are a plus.

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