A healthcare data and analytics companyHiring

Data Engineer

  • Remote, worldwide
  • Mid-level
  • Posted 3 weeks ago
In one line

Data engineering role building and supporting ETL pipelines for claims and consumer data products, with Python, SQL and Spark.

About the role

Pipeline components for claims and consumer domains need someone to own their quality and delivery, from implementation through production support.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, worldwide
Seniority
Mid-level
Skills
Python, SQL, Spark, PySpark, ETL, CI/CD, Data modeling
Posted
7 Oct 2026
Last checked
26 Oct 2026

What you will do

  • Build, test and maintain ETL and ELT pipelines and transformations with Python, SQL and Spark or PySpark
  • Own assigned pipeline components through deployment, documentation and production support
  • Troubleshoot failures, data quality problems and performance issues, then ship maintainable fixes

What they look for

  • Hands-on experience with Python, SQL, Spark or PySpark and cloud data platforms
  • Familiarity with workflow orchestration and modern engineering practices like CI/CD and code review
  • Ability to work with growing independence and flag blockers early

A typical week

  • Contribute to component-level designs, estimates and implementation plans within set architecture standards
  • Monitor pipeline reliability and surface risks or blockers early
  • Work with engineers, QA, analysts, Product and Support to clarify requirements and deliver data changes
  • Assess downstream effects of schema and data changes and communicate status clearly

How Keywordise applies for you

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Connector URL
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Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

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Prompt
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How to connect

Questions about this job

Is this a remote job, and where can I work from?

Yes, it is listed as remote, and the posting does not tie it to one country.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a mid-level role. The posting asks for: hands-on experience with Python, SQL, Spark or PySpark and cloud data platforms; familiarity with workflow orchestration and modern engineering practices like CI/CD and code review; ability to work with growing independence and flag blockers early. Skills it names include Python, SQL, Spark, PySpark.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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