Manager, Data Analytics and Engineering
- Remote, United States
- Lead
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
Lead a team of data engineers building batch and streaming pipelines that feed analytics, AI and business decisions; remote-friendly within the company.
About the role
Remote setup with a team of data engineers reporting to you, plus close work with product, analytics and infrastructure groups. Success means data people trust, delivered on schedule and at a sane cost.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Lead
- Skills
- Python, Java, SQL, Scala, Airflow, Argo, Kafka, Flink
- Posted
- 20 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Run one-to-ones, coaching and performance reviews for a team of data engineers
- Handle hiring, onboarding and career growth for the team
- Own ingestion, transformation and storage pipelines, both batch and streaming
- Set standards for data modeling, quality, observability and cost control
- Turn business and analytics needs into technical plans and sprint commitments
What they look for
- Graduate degree in computer science, maths or another quantitative field
- At least 8 years in data engineering, with 3 or more leading engineers
- Hands-on Python or Java, plus SQL and cloud data platforms
- Experience with orchestration tools, streaming systems and lakehouses
Nice to have
- Familiarity with dbt or semantic layers
- Exposure to GCP data tooling
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 medjmva2spQuestions about this job
Is this a remote job, and where can I work from?
Yes. The posting lists Manager, Data Analytics and Engineering as a remote role for 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 lead role. The posting asks for: graduate degree in computer science, maths or another quantitative field; at least 8 years in data engineering, with 3 or more leading engineers; hands-on Python or Java, plus SQL and cloud data platforms. Skills it names include Python, Java, SQL, 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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