PrizePicksHiring

Manager, Data Analytics and Engineering

  • Remote, United States
  • Lead
  • Posted 9 days ago
In one line

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

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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Connect Keywordise to your assistant once, then send it the prompt. It applies for you.

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
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.

Prompt
Apply to Keywordise job medjmva2sp
How to connect

Questions 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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