Venon SolutionsHiring

Senior Data Engineer (Databricks & Snowflake)

  • Remote, worldwide
  • Contract
  • Senior
  • Posted 3 days ago
In one line

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

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Connector URL
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Questions 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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