Senior Data Engineer, Data Analytics
- Remote, worldwide
- Senior
- Posted 2 days ago
or apply from Claude / ChatGPT / Muse
Data platform role turning robot logs and telemetry into reliable datasets for analytics and debugging.
About the role
Fleet operations, hardware reliability and machine learning all depend on the data this team curates, from what the robots record to how it lands in the cloud.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, worldwide
- Seniority
- Senior
- Skills
- Spark, Airflow, AWS, Python, Java, Scala, Parquet, Iceberg
- Posted
- 2 Nov 2026
- Last checked
- 3 Nov 2026
What you will do
- Work with robot software and hardware teams to define and curate data for analytics and debugging
- Build and maintain ETL pipelines that turn raw logs and telemetry into structured sets with Spark, Airflow and AWS
- Own gold-layer datasets with freshness SLAs, documentation and monitoring
- Add data quality checks, schema evolution and metadata management
What they look for
- Five or more years building and running production data pipelines
- Strong Spark or similar distributed processing, with Python, Java or Scala
- Experience with Airflow, Dagster, Prefect or another orchestrator
- Familiarity with Avro, Parquet, Iceberg or Delta Lake and medallion architecture
- Solid grasp of data modeling, schema evolution and partitioning for query performance
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 roa7tkmxvmQuestions about this job
Is this a remote job, and where can I work from?
Yes. The posting lists Senior Data Engineer, Data Analytics as a remote role open to candidates worldwide.
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: five or more years building and running production data pipelines; strong Spark or similar distributed processing, with Python, Java or Scala; experience with Airflow, Dagster, Prefect or another orchestrator. Skills it names include Spark, Airflow, AWS, 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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