Data Engineer
- Remote, United States
- Senior
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
Data engineering role on a data, analytics and AI team, building pipelines in Matillion and Databricks; remote within the US, with a security clearance required.
About the role
The team turns messy source data into reliable inputs for analysts and data scientists. Work covers ingest, transformation, modelling and the analytics that come out of it, with governance and security built in.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Matillion, HVR, Databricks, SQL, ETL, ELT, Data modeling
- Posted
- 20 Oct 2026
- Last checked
- 23 Oct 2026
What you will do
- Build and tune data pipelines in Matillion, HVR and Databricks, using automation where it helps
- Model databases and write SQL for analysis, transformation and troubleshooting
- Work with data scientists, analysts and architects to turn data needs into technical designs
- Keep data secure and follow industry rules and internal governance standards
- Document workflows, processes and technical specs
What they look for
- A degree or equivalent experience plus at least 8 years in relevant work, or an advanced degree with 5 years
- 5 or more years as a data engineer doing AI-assisted analysis, modelling and transformation
- Hands-on ETL and ELT development with Matillion, keeping data quality and integrity intact
- Solid data modelling and architecture skills, and comfort turning business needs into detailed requirements
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 gmbqcgjxtlQuestions about this job
Is this a remote job, and where can I work from?
Yes, it is listed as remote, aimed at 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 senior role. The posting asks for: a degree or equivalent experience plus at least 8 years in relevant work, or an advanced degree with 5 years; 5 or more years as a data engineer doing AI-assisted analysis, modelling and transformation; hands-on ETL and ELT development with Matillion, keeping data quality and integrity intact. Skills it names include Matillion, HVR, Databricks, SQL.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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