Junior Data Engineer
- Remote, United States
- Entry-level
- Posted 5 days ago
or apply from Claude / ChatGPT / Muse
Junior Data Engineer is an entry-level remote role in the United States at an employee-owned analytics consultancy.
About the role
Building and testing data systems and pipelines in Python and SQL for a client mission, within a small consulting team. Clean, repeatable results and clear communication with stakeholders count here.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Entry-level
- Skills
- Python, SQL, ETL, ELT, BI tools, Data warehouses
- Posted
- 30 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Collect and analyse requirements from technical and business stakeholders
- Design, build and test data systems, pipelines and application components
- Write complex SQL, model data and keep ETL/ELT pipelines running well
- Use Python or R plus BI tools for analysis, including basic statistical and ML work
- Meet clients to understand needs and adjust to changing requirements on short notice
What they look for
- Three to five years of relevant data engineering experience
- Strong Python, SQL and relational database skills
- Familiarity with data warehouses and introductory cloud services
- US work eligibility for a federal law enforcement programme
Nice to have
- Experience mentoring junior colleagues
Benefits
- Employee ownership stake in the company
- Training, mentorship and learning resources
- Inclusive workplace culture
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.
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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 h6nagtzswoQuestions about this job
Is this a remote job, and where can I work from?
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 an entry-level role. The posting asks for: three to five years of relevant data engineering experience; strong Python, SQL and relational database skills; familiarity with data warehouses and introductory cloud services. Skills it names include Python, SQL, ETL, ELT.
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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