A healthcare data and analytics companyHiring

Data Engineer

  • Remote, United States
  • Mid-level
  • Posted 10 days ago
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In one line

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

About the role

The team owns pipeline components end to end, from implementation through production support. Work follows established engineering standards, with growing independence and clear reporting on progress and blockers.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
Python, SQL, Spark, PySpark, ETL, CI/CD
Posted
19 Oct 2026
Last checked
27 Oct 2026

What you will do

  • Build, test and maintain ETL and ELT pipelines in Python, SQL and Spark
  • Own assigned pipeline components through deployment, documentation and production support
  • Troubleshoot failures, data quality problems and slow jobs, then fix them for good

What they look for

  • Hands-on Python, SQL and Spark or PySpark experience
  • Familiarity with cloud data platforms and workflow orchestration
  • Knowledge of data modeling, testing, code review and CI/CD practices
  • Clear communication with engineers, analysts, product and support

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

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ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
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.

Prompt
Apply to Keywordise job n72od56b33
How to connect

Questions about this job

Is this job fully remote, and from where?

The posting lists it as remote for people 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 Python, SQL and Spark or PySpark experience; familiarity with cloud data platforms and workflow orchestration; knowledge of data modeling, testing, code review and CI/CD practices. Skills it names include Python, SQL, Spark, PySpark.

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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