Data Engineer
- Remote, United States
- Full-time
- Mid-level
- Posted 5 days ago
or apply from Claude / ChatGPT / Muse
Remote data engineering role on a Databricks platform, building pipelines with PySpark and SQL for a healthcare organisation; open to candidates in listed US states.
About the role
Work centres on a metadata-driven ingestion framework, with data quality and governance built into the platform rather than added afterwards.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Mid-level
- Employment
- Full-time
- Skills
- PySpark, Databricks, SQL, ETL, Delta Lake, Azure, Git, Fivetran
- Posted
- 30 Oct 2026
- Last checked
- 3 Nov 2026
What you will do
- Build and maintain pipelines in PySpark and Databricks
- Onboard new datasets through the metadata-driven ingestion framework
- Add validation and quality checks inside pipelines
- Handle schema changes, incremental loads and file processing
- Troubleshoot pipeline failures and performance problems
What they look for
- Hands-on PySpark and Databricks experience
- Strong SQL and experience building ETL or ELT pipelines
- Understanding of Delta Lake concepts such as merges, schema evolution and partitions
- Familiarity with cloud platforms, Azure preferred, plus basic Git
- Three to five years of relevant experience, or five or more without a degree
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
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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.
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ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
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- Log in to Keywordise and approve. Then send the prompt in a new chat.
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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 tlz254wuezQuestions about this job
Is this job fully remote, and from where?
Yes. The posting lists Data Engineer as a remote role for candidates in the United States.
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 PySpark and Databricks experience; strong SQL and experience building ETL or ELT pipelines; understanding of Delta Lake concepts such as merges, schema evolution and partitions. Skills it names include PySpark, Databricks, SQL, ETL.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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