Senior Data Engineer (Databricks & Snowflake)
- Remote, worldwide
- Contract
- Senior
- Posted 3 days ago
or apply from Claude / ChatGPT / Muse
Senior data engineering contract for a client team, building pipelines in Databricks and Snowflake with Python and SQL; fully remote.
About the role
The work covers data from lab, manufacturing and clinical systems, with models built to be versioned and traceable so AI and ML teams can use them. Short-term contract with a good chance of extension.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, worldwide
- Seniority
- Senior
- Employment
- Contract
- Working hours
- Meetings with US and European time zones
- Skills
- Databricks, Snowflake, Spark, AWS, Python, SQL, dbt, ETL
- Posted
- 1 Nov 2026
- Last checked
- 1 Nov 2026
What you will do
- Design and maintain pipelines that pull data from lab, manufacturing and clinical systems
- Optimize flows for structured and unstructured data using PySpark, SQL, Databricks and Snowflake
- Build and maintain data repositories and enterprise data models
- Prepare data so it is versioned, traceable and ready for AI and ML use
What they look for
- Degree in engineering, computer science, data science, life sciences or similar
- 6 or more years in data engineering, including modeling and database design
- Python, R, SQL and cloud architectures on AWS, plus Spark and dbt
- ETL and data warehouse experience, with NoSQL and graph databases
- English at B2 or above and solid stakeholder skills
Nice to have
- Histopathology domain experience
- Regulated data standards such as CDISC, HL7, FHIR, OMOP or DICOM
Benefits
- Competitive pay in USD
- Fully remote with holidays on the North American calendar
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 7swsypr72yQuestions 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. On hours, the posting says: Meetings with US and European time zones.
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: degree in engineering, computer science, data science, life sciences or similar; 6 or more years in data engineering, including modeling and database design; python, R, SQL and cloud architectures on AWS, plus Spark and dbt. Skills it names include Databricks, Snowflake, Spark, AWS.
How do I apply with Keywordise AI?
Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.
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