Scout MotorsHiring

Senior DataOps Engineer

  • Remote, worldwide
  • Full-time
  • Senior
  • Posted 8 days ago
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or apply from Claude / ChatGPT / Muse

In one line

Senior data engineering role on an enterprise cloud data platform, mostly Databricks and AWS, remote within the United States with some travel.

About the role

A new chapter for an electric truck and SUV maker, building out its data platform from the ground up. Good work here means pipelines that stay reliable and cheap to run at enterprise scale.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, worldwide
Seniority
Senior
Employment
Full-time
Skills
Databricks, AWS, PySpark, Spark SQL, Delta Lake, Python, ETL, SQL
Posted
21 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Design, automate and run cloud data platforms on Databricks and AWS using infrastructure as code
  • Lead the building, tuning and day to day running of large ETL and ELT pipelines in Databricks
  • Create batch and streaming pipelines with PySpark, Spark SQL, Delta Lake and Databricks Workflows
  • Size and tune Databricks clusters for speed, reliability and cost
  • Build data models and BI dashboards that show trends and forecasts

What they look for

  • Hands on experience with Databricks, AWS and infrastructure as code
  • Strong Python and SQL skills for ETL and ELT work
  • Comfort working with software, systems and security teams across the company

Nice to have

  • Experience with data modelling tools such as Erwin, Talend or Lucid

How Keywordise applies for you

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ClaudeConnectorChatGPTConnectorMuseby Meta

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

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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
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How to connect

Questions about this job

Is this a remote job, and where can I work from?

The posting lists it as remote with no single country named, so candidates from different countries can apply.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: hands on experience with Databricks, AWS and infrastructure as code; strong Python and SQL skills for ETL and ELT work; comfort working with software, systems and security teams across the company. Skills it names include Databricks, AWS, PySpark, Spark SQL.

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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