Analytics Engineer
- Remote, United States
- Mid-level
- Posted 3 weeks ago
or apply from Claude / ChatGPT / Muse
Work on data pipelines and tools to support analytics and decision-making across diverse teams in a major online community.
About the role
This role involves collaborating with data scientists and engineers to ensure data quality and reliability, driving product improvements.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Mid-level
- Skills
- Python, SQL, Spark, Scala, Airflow
- Posted
- 14 Oct 2026
- Last checked
- 3 Nov 2026
What you will do
- Develop and maintain data pipelines and workflows
- Create tools for internal data analysis and reporting
- Implement data quality checks and monitoring routines
- Collaborate on data foundations and strategy
What they look for
- Bachelor's degree in computer science or related field
- 3+ years of experience with large-scale ETL systems
- Proficiency in Python, SQL, Spark, and Scala
- Experience with data modeling and workflows
- Strong communication and collaboration skills
Nice to have
- Agentic AI-assisted development experience
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 ciolix5zumQuestions about this job
Is this job fully remote, and from where?
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 mid-level role. The posting asks for: bachelor's degree in computer science or related field; 3+ years of experience with large-scale ETL systems; proficiency in Python, SQL, Spark, and Scala. Skills it names include Python, SQL, Spark, Scala.
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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