Lead Data Engineer
- Remote, United States
- Lead
- Posted 5 days ago
or apply from Claude / ChatGPT / Muse
Lead data engineering role at a fully remote consultancy, building analytical platforms for clients across several industries.
About the role
Owning client-facing data architecture work, from translating business questions into AI-ready designs to shipping the pipelines and semantic layers behind them. Small teams, independent delivery, and a say in how the practice grows.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Lead
- Skills
- SQL, Python, Spark, Snowflake, Databricks, dbt, Fivetran, Git
- Posted
- 30 Oct 2026
- Last checked
- 3 Nov 2026
What you will do
- Advise clients on data and AI, turning their business questions into architectures that are ready for AI
- Design cloud warehouses, lakehouses, ELT pipelines, orchestration jobs and analytical layers for LLM-driven analytics
- Write production SQL, Python and Spark code, using Git and CI/CD, and build metrics layers and knowledge graphs
What they look for
- Degree in computer science, engineering or maths, or the equivalent in experience
- At least five years each with relational databases, production pipelines, data modelling and clean Python code
- Comfortable managing stakeholders and working directly with customers
- Strong written and spoken communication
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 bojibifgtgQuestions about this job
Can I do this job remotely, and from which countries?
Yes, it is listed as remote, aimed at candidates in the United States.
What does this job pay?
No pay range is stated in the posting.
What experience is needed?
It is a lead role. The posting asks for: degree in computer science, engineering or maths, or the equivalent in experience; at least five years each with relational databases, production pipelines, data modelling and clean Python code; comfortable managing stakeholders and working directly with customers. Skills it names include SQL, Python, Spark, Snowflake.
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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