Senior Databricks Engineer — Remote Lakehouse Leader

Pacific Northwest National Laboratory

San Juan (PR)

Remote

USD 133,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Pension plan
401(k) match
Vacation & holidays

Job summary

Pacific Northwest National Laboratory in Richland, WA is seeking an experienced Databricks Engineer to design, build, and operate an enterprise data lakehouse powering analytics and reporting across PNNL systems. This role focuses on delivering governed, reliable data products.

You will enable downstream analytics with Power BI and AI/ML, modernise legacy warehouses and ETL, shape CI/CD for Databricks, and ensure secure access via Unity Catalog and data governance across environments.

Qualifications

  • PhD and 1 year of Data or Software Engineering experience -OR-
  • MS/MA and 3 years of Data or Software Engineering experience -OR-
  • BS/BA and 5 years of Data or Software Engineering experience -OR-
  • AA and 14 years of Data or Software Engineering experience -OR-
  • HS/GED and 16 years of Data or Software Engineering experience

Responsibilities

  • Design and build scalable Databricks lakehouse solutions.
  • Operate and optimise production Databricks environments, including Jobs/Workflows and CI/CD.
  • Modernise legacy warehouses and ETL processes; develop reliable ingestion-to-gold pipelines.
  • Implement secure data platforms with access controls, lineage, and monitoring.

Skills

Lakehouse Architecture & Data Eng
Databricks & Azure Platform Eng
Data Modernisation
Governance & Security
AI & Automation

Education

PhD + 1 year data/software experience
MS/MA + 3 years data/software
BS/BA + 5 years data/software
AA + 14 years data/software
HS/GED + 16 years data/software

Tools

Delta Lake
SQL
Python
Notebooks
CI/CD (DAB)
Azure services

Job description

Pacific Northwest National Laboratory in Richland, WA is seeking an experienced Databricks Engineer to design, build, and operate an enterprise data lakehouse powering analytics and reporting across PNNL systems. This role focuses on delivering governed, reliable data products.

You will enable downstream analytics with Power BI and AI/ML, modernise legacy warehouses and ETL, shape CI/CD for Databricks, and ensure secure access via Unity Catalog and data governance across environments.

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