Staff Data Engineer
- Remote, United States
- Senior
- Posted 3 days ago
or apply from Claude / ChatGPT / Muse
Staff data engineering role on a global data foundations team, building large-scale platforms that turn warehouse automation and sensor data into usable intelligence.
About the role
Work sits where data and software engineering meet AI delivery, supporting real-time visibility and predictive insights across fulfillment and distribution. The team builds a unified intelligence layer for automation platforms.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Spark, BigQuery, Java, Python, Kafka, Cassandra, Elasticsearch, React
- Posted
- 26 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Build and scale enterprise platforms for supply chain automation, predictive maintenance and analytics
- Develop data products, APIs, microservices and user-facing apps handling large volumes of operational data
- Work with product, operations and business teams on supply chain problems using data, software and AI
What they look for
- Experience with large distributed data and software platforms using Spark, BigQuery, Java, Python, Kafka, Cassandra, Elasticsearch, React an
- Background in data engineering, backend work, event-driven systems and real-time processing
- Hands-on use of AI-assisted development tools and prompt-driven workflows
Nice to have
- Experience with high-volume IoT, telemetry, sensor or machine-generated data
Benefits
- Medical, vision and dental coverage
- Paid time off including sick, parental, family care, bereavement, jury duty and voting leave
- Short-term and long-term disability
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 7j7up3uhasQuestions about this job
Is this job fully remote, and from where?
Yes. The posting lists Staff Data Engineer as a remote role for 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 senior role. The posting asks for: experience with large distributed data and software platforms using Spark, BigQuery, Java, Python, Kafka, Cassandra, Elasticsearch, React an; background in data engineering, backend work, event-driven systems and real-time processing; hands-on use of AI-assisted development tools and prompt-driven workflows. Skills it names include Spark, BigQuery, Java, Python.
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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