Data Engineer – Databricks

Job Overview

We are seeking an experienced
Data Engineer with strong Databricks expertise
to design, develop, and maintain scalable enterprise data pipelines and data engineering solutions. The ideal candidate will have hands‑on experience with
Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL
, along with experience in cloud platforms and modern data engineering practices.

Candidates must be local to or able to work onsite in Beaverton, Oregon 3 days per week.

Key Responsibilities

• Design, develop, and maintain scalable
  ETL/ELT data pipelines
  and enterprise data solutions.
• Develop and optimize data processing solutions using
  Databricks, PySpark, Spark SQL, and Delta Lake
  .
• Build reliable and high‑performance data pipelines using
  Python and SQL
  .
• Implement data integration and transformation processes across various enterprise data sources.
• Work with cloud platforms such as
  Azure, AWS, or GCP
  , with preference for
  Azure
  .
• Develop and manage data workflows using orchestration tools such as
  Azure Data Factory (ADF) and/or Apache Airflow
  .
• Apply data modeling, data warehousing, and performance optimization best practices.
• Implement data quality, scalability, reliability, and performance improvements across data platforms.
• Use
  Git, CI/CD, and Dev Ops practices
  to support automated and reliable data deployments.
• Collaborate with business stakeholders, data architects, developers, and other cross‑functional teams to deliver enterprise data solutions.
• Troubleshoot complex data pipeline and processing issues and provide effective technical solutions.
• Contribute to modern Databricks capabilities such as
  Delta Live Tables (DLT), Unity Catalog, and Structured Streaming
  where applicable.

Required Skills

• 6+ years of overall IT experience
  , including5+ years of Data Engineering experience
  .
• Strong hands‑on experience with
  Databricks
  .
• Strong expertise in
  PySpark, Spark SQL, and Delta Lake
  .
• Strong programming skills in
  Python and SQL
  .
• Experience with
  Azure, AWS, or GCP
  , preferably Azure.
• Experience with
  Azure Data Factory (ADF) and/or Airflow
  .
• Strong understanding of
  data modeling and data warehousing
  .
• Experience with
  data pipeline and query performance optimization
  .
• Hands‑on experience with
  Git, CI/CD, and Dev Ops practices
  .
• Strong analytical, problem‑solving, collaboration, and communication skills.

Preferred Skills

• Unity Catalog
• Structured Streaming
• Experience working with large-scale enterprise data platforms.

All your information will be kept confidential according to EEO guidelines.