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Data Engineer (Databricks / Spark)

Healthcare analytics company · name shared before you are submitted

Location
United States
Work mode
Remote
Duration
6 months, intended to convert
Engagement
Contract-to-hire
Specialism
Data & AI
Posted

The role

Migrate a set of legacy SQL Server pipelines onto Databricks and own their reliability afterwards. The client intends to convert this role to a permanent position at the end of the contract.

What you will do

  • Design and build batch pipelines in PySpark on Databricks
  • Migrate existing stored-procedure logic with parity testing
  • Set up data quality checks and alerting
  • Document pipelines for the analytics team that consumes them

What you need

  • 4+ years in data engineering
  • Production experience with Spark and Databricks
  • Strong SQL and data modelling
  • Authorised to work in the United States

Nice to have

  • Delta Live Tables or Unity Catalog
  • HIPAA-regulated data experience

Apply for Data Engineer (Databricks / Spark)

A link to your CV or LinkedIn is enough to start. There is no cost to you, now or if you are placed.

Applying for: Data Engineer (Databricks / Spark)

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What happens after you apply

  1. Register or apply5 minutes

    Apply for an open role, or register your profile so we can match you when the right one comes in. A link to your CV or LinkedIn is enough to start.

  2. Intro call20–30 minutes

    A conversation about what you want next: the work, the rate, remote or onsite, contract length and when you are free. We tell you honestly whether we are likely to have something that fits.

  3. Technical screen45–60 minutes

    Run by someone who works in your field. It is a working conversation about real problems, not a quiz, and you get feedback afterwards whatever the result.

  4. SubmissionWith your consent

    We never send your profile to a company without telling you who it is and getting your yes first. You will not find out from a hiring manager that you were submitted somewhere.

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