SentaraHiring

Data Engineer

  • Remote, United States
  • Full-time
  • Mid-level
  • Posted 5 days ago
In one line

Remote data engineering role on a Databricks platform, building pipelines with PySpark and SQL for a healthcare organisation; open to candidates in listed US states.

About the role

Work centres on a metadata-driven ingestion framework, with data quality and governance built into the platform rather than added afterwards.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Employment
Full-time
Skills
PySpark, Databricks, SQL, ETL, Delta Lake, Azure, Git, Fivetran
Posted
30 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Build and maintain pipelines in PySpark and Databricks
  • Onboard new datasets through the metadata-driven ingestion framework
  • Add validation and quality checks inside pipelines
  • Handle schema changes, incremental loads and file processing
  • Troubleshoot pipeline failures and performance problems

What they look for

  • Hands-on PySpark and Databricks experience
  • Strong SQL and experience building ETL or ELT pipelines
  • Understanding of Delta Lake concepts such as merges, schema evolution and partitions
  • Familiarity with cloud platforms, Azure preferred, plus basic Git
  • Three to five years of relevant experience, or five or more without a degree

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Questions about this job

Is this job fully remote, and from where?

Yes. The posting lists Data Engineer as a remote role for candidates in the United States.

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 mid-level role. The posting asks for: hands-on PySpark and Databricks experience; strong SQL and experience building ETL or ELT pipelines; understanding of Delta Lake concepts such as merges, schema evolution and partitions. Skills it names include PySpark, Databricks, SQL, ETL.

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