Data Engineer II
- Remote, India
- Mid-level
- Posted 2 weeks ago
or apply from Claude / ChatGPT / Muse
Data engineering role on a healthcare revenue cycle team, building pipelines that feed reporting and analytics; remote within the India office setup.
About the role
Remote, with the India team working as an extension of a larger US-based organisation. Good work means pipelines that stay accurate and fast, and documentation others can follow.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, India
- Seniority
- Mid-level
- Skills
- Data pipelines, Data integrity, Business intelligence
- Posted
- 7 Oct 2026
- Last checked
- 20 Oct 2026
What you will do
- Build pipelines that pull data from many sources, transform it and load it into central stores
- Tune how data is stored and fetched so queries stay fast as volumes grow
- Work with analysts, developers and business stakeholders to match data solutions to real needs
- Write down the architecture, workflows and integrations so the setup stays clear
- Test and check outputs for accuracy, reliability and compliance with company standards
- Watch over data systems and fix performance or integrity problems quickly
What they look for
- Hands-on experience designing and building data pipelines
- Comfort with data storage and retrieval optimisation
- Ability to work with analysts and business stakeholders on requirements
Benefits
- Health cover for you, your immediate family and parents
- Paid time off plans
- Retirement benefits
- Recognition and wellness programs
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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- 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.
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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.
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 o3wkdf53xzQuestions about this job
Is this a remote job, and where can I work from?
The posting lists it as remote for people in India.
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 designing and building data pipelines; comfort with data storage and retrieval optimisation; ability to work with analysts and business stakeholders on requirements. Skills it names include Data pipelines, Data integrity, Business intelligence.
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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