Senior Data Engineer, Data Platform

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Jobgether is seeking a Senior Data Engineer to design and build a modern data platform in the healthcare technology space. The role involves developing robust automation, observability, and integration capabilities across complex data workflows. The ideal candidate will have strong programming skills in Python and SQL, with hands-on experience in Snowflake, BigQuery, Redshift, or similar platforms.

Key Highlights

Design and build scalable backend services and APIs

Develop and integrate data pipelines and platform capabilities

Collaborate cross-functionally with engineering, DevOps, and product teams

Key Responsibilities

Design and build scalable backend services, APIs, and internal tools

Develop and integrate data pipelines and platform capabilities

Collaborate cross-functionally with engineering, DevOps, and product teams

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Technical Skills Required

Python SQL Snowflake BigQuery Redshift Airflow Spark Kafka dbt Docker AWS

Benefits & Perks

Fully remote work within the contiguous United States

Long-term, stable independent contractor engagement

Structured work schedule aligned with US Eastern Time business hours

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Nice to Have

Experience with data observability tools

Data catalogs

Healthcare data standards (X12, FHIR)

Data migration projects

Internal developer platforms

Authentication/authorization systems (OAuth2, JWT, SSO)

Job Description

This role offers the opportunity to shape and scale a modern data platform within a fast-paced, data-driven environment in the healthcare technology space.You will design and build core platform services that power large-scale data ecosystems used to improve patient and provider experiences.The position focuses on developing robust automation, observability, and integration capabilities across complex data workflows.You will work on high-impact systems that enhance pipeline reliability, scalability, and developer productivity.Collaboration is central, as you will partner closely with data engineering, DevOps, and product teams.

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