Senior Data Engineer - Hybrid, Big Data & AI Tools

eTeam; Beaverton (OR); Hybrid; USD 137,000 - 158,000; Full time

Job summary

eTeam in Beaverton, OR is seeking an experienced Data Engineer to design and implement data products in collaboration with product owners, data analysts, and business partners using Agile/Scrum.

The role focuses on high-volume data processing with Spark, Databricks, Python, and SQL. 8–10 years in data-related roles and a BS in CS are required; AWS/Databricks certifications are a plus. Hybrid work model with Mon–Thu onsite and Fri remote.

Qualifications

• Bachelor’s degree in Computer Science or related technical discipline.
• 8-10 years in data-related roles with strong software development experience.
• Proficiency in Python or Scala; experience with Spark and SQL.
• Experience with data warehousing concepts and Snowflake; knowledge of Hadoop ecosystem.

Responsibilities

• Design and implement data products and features with Agile/Scrum teams.
• Contribute to architecture and patterns for processing large data volumes.
• Build distributed data pipelines using big data tools and languages.
• Develop utilities and libraries to improve data flow and performance.
• Collaborate with engineers to ensure quality and CI/CD best practices.
• Create unit tests and participate in integration testing.

Skills

Databricks

Spark

Python

Snowflake

SQL

AI tools

Education

Bachelor’s degree in Computer Science

Tools

Hadoop

Hive

Airflow

GitHub/Bitbucket

Terraform/CloudFormation

Jenkins/CircleCI

Job description

eTeam in Beaverton, OR is seeking an experienced Data Engineer to design and implement data products in collaboration with product owners, data analysts, and business partners using Agile/Scrum.

The role focuses on high-volume data processing with Spark, Databricks, Python, and SQL. 8–10 years in data-related roles and a BS in CS are required; AWS/Databricks certifications are a plus. Hybrid work model with Mon–Thu onsite and Fri remote.