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Senior Data Engineer (Databricks)

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Onsite

Senior Data Engineer (Databricks)

Qubika

Senior Data Engineer (Databricks)

Skills

SQL QueriesLookerData EngineeringTableauPythonDatabricksGitData AnalysisPySparkPower BI

17 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

4 October 2026

What they need


We're looking for a Senior Data Engineer to join a US-based healthcare technology company and help build and evolve the data foundation that supports Finance, Clinical and Operations reporting. You'll work in a Databricks environment with a medallion architecture (bronze/silver/gold) that is still taking shape, plus Domo for BI and analytics, and you'll integrate data from several source systems. It's a hands-on role with real ownership: you'll lead priority pipeline work and make the analytics team's data more reliable and easier to use.

Responsibilities

  • Build and maintain reliable pipelines that move data from source systems into Databricks.
  • Develop curated tables and data models across the bronze, silver and gold layers for reporting and analytics.
  • Improve pipeline reliability, data quality and performance through validation, monitoring and troubleshooting.
  • Work with analysts and business stakeholders to turn reporting requirements into technical solutions.
  • Deliver dependable, analytics-ready datasets for Domo and other downstream consumers.
  • Document data flows, transformations and dependencies so the team can maintain and extend the platform.

Must have

  • 5+ years of data engineering experience at a senior level.
  • Strong SQL and Python/PySpark skills.
  • Hands-on experience building production pipelines in Databricks.
  • Experience integrating multiple data sources and building analytics-ready data models.
  • Familiarity with lakehouse / medallion architectures and good engineering practices: testing, version control (Git) and CI/CD.
  • Able to work independently, troubleshoot problems and explain things clearly to both technical and non-technical people.
  • Based in LATAM, with regular overlap with US business hours.
  • Advanced English.

Nice to have

  • Experience with Domo or a similar BI tool (Power BI, Tableau, Looker) and the data it needs upstream.
  • Experience with healthcare, financial or operational reporting data.
  • Experience handling sensitive data (PHI/PII, HIPAA) and setting up access controls (for example, Unity Catalog).
  • Experience tuning Databricks workloads for performance and cost

Additional Information

This job opening includes people registered in the National Registry for Persons with Disabilities (Registro Nacional de Personas con Discapacidad – Ley N° 19.691) who meet the conditions and suitability for the position.

If you require any accommodations during the application process, please reach out to us at [email protected]

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