Staff Engineer, Data Platform
- Remote, United States
- Full-time
- Senior
- Posted 5 weeks ago
or apply from Claude / ChatGPT / Muse
Staff data engineering role on a remote US team, owning the data platform and streaming pipelines that handle telemetry from millions of connected homes.
About the role
Someone who has led architecture at scale and still writes code, and who is glad to mentor other engineers and set the standards for pipelines, data quality and uptime.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Employment
- Full-time
- Skills
- Python, Redshift, AWS, GCP, Kafka, Flink, Iceberg, Terraform
- Posted
- 24 Sep 2026
- Last checked
- 28 Oct 2026
What you will do
- Set the long-term data architecture, roadmap and design standards for the platform
- Design batch and real-time streaming infrastructure that handles device data from millions of homes
- Join the on-call rotation and lead infrastructure support operations
What they look for
- Ten or more years in software and data engineering, with architectural leadership at scale
- Production experience with streaming tools such as Kafka, Flink, Kinesis, PubSub or Lambda
- Deep knowledge of data lake design using S3, Iceberg, Glue or Delta Lake
- Strong database design, query tuning, indexing and partitioning skills
Nice to have
- Experience with Python, Prefect or Terraform
Benefits
- Remote work within the US
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 a7qaeueuylQuestions about this job
Is this job fully remote, and from where?
Yes. The posting lists Staff Engineer, Data Platform 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 senior role. The posting asks for: ten or more years in software and data engineering, with architectural leadership at scale; production experience with streaming tools such as Kafka, Flink, Kinesis, PubSub or Lambda; deep knowledge of data lake design using S3, Iceberg, Glue or Delta Lake. Skills it names include Python, Redshift, AWS, GCP.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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