Data Engineer
- Remote, worldwide
- Mid-level
- Posted 3 weeks ago
or apply from Claude / ChatGPT / Muse
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
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job cuj5ay3t34Questions 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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