Senior Data Engineer
- Remote, United States
- Senior
- Posted 5 days ago
or apply from Claude / ChatGPT / Muse
Senior data engineering role building pipelines and data products with Microsoft Fabric and Spark, partnering with product and analytics teams.
About the role
Designing and owning data products end to end, from ingestion to production support. The team works with modern engineering practices and expects reliable, well-governed data for digital products.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- PySpark, Python, Apache Spark, Kafka, Flink, dbt, SQL, NoSQL
- Posted
- 30 Oct 2026
- Last checked
- 3 Nov 2026
What you will do
- Design, build and improve scalable data pipelines and processing systems.
- Create reusable patterns for ingestion, transformation and storage.
- Integrate data from APIs, databases, event streams and third-party systems.
- Apply version control, testing, CI/CD and automated deployments.
- Ensure data quality and reliability with validation, monitoring and observability tools.
What they look for
- Strong PySpark and Python skills for scalable pipelines.
- Hands-on experience with Apache Spark, Kafka, Flink, dbt or similar.
- Solid SQL, NoSQL, data modeling and data architecture knowledge.
- Ability to optimize SQL queries, pipelines and storage for performance and cost.
- Experience with batch or real-time streaming data solutions and Microsoft Fabric Notebooks.
Nice to have
- Containerization experience.
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 qrer5rtyvfQuestions about this job
Is this a remote job, and where can I work from?
Yes. The posting lists Senior 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: strong PySpark and Python skills for scalable pipelines; hands-on experience with Apache Spark, Kafka, Flink, dbt or similar; solid SQL, NoSQL, data modeling and data architecture knowledge. Skills it names include PySpark, Python, Apache Spark, Kafka.
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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