Senior Data Engineer — Databricks Lakehouse Data Products

JobCubby; Irvine (CA); On-site; USD 108,000 - 153,000; Full time

Job summary

Edwards in Irvine seeks a Senior Data Engineer to deliver data products on the Databricks Lakehouse Platform, transforming raw data into trusted analytics assets. You will build scalable pipelines and collaborate with Data Science, Analytics, DevOps, and Platform Engineering teams.

The role emphasizes production-grade pipelines, data quality, CI/CD, and governance, with a focus on PHI privacy and enterprise security policies. California-based base pay is disclosed in the posting.

Qualifications

• Bachelor’s degree in a related field with 4+ years of data engineering, DevOps, or software development experience; or Master’s with 3+ years; or PhD.
• Strong hands-on Databricks experience and advanced SQL for data transformation and modeling.
• Onsite role based in Irvine, CA; relocation not provided; must reside within 50 miles of Irvine.

Responsibilities

• Apply hands-on expertise in Python, cloud technologies, Databricks, Spark, and SQL to build scalable data solutions.
• Design and maintain scalable, well-documented data products and ETL/ELT pipelines for batch and near-real-time processing.
• Monitor and optimize Spark/Databricks workloads to improve performance and cost efficiency.

Skills

Databricks

SQL

Python

CI/CD

Education

Bachelor’s degree

Master’s degree or PhD

Tools

Databricks

Spark

Delta Lake

Cloud platforms

Job description

Edwards in Irvine seeks a Senior Data Engineer to deliver data products on the Databricks Lakehouse Platform, transforming raw data into trusted analytics assets. You will build scalable pipelines and collaborate with Data Science, Analytics, DevOps, and Platform Engineering teams.

The role emphasizes production-grade pipelines, data quality, CI/CD, and governance, with a focus on PHI privacy and enterprise security policies. California-based base pay is disclosed in the posting.