Senior Data Engineer: Scalable Pipelines & AI Insights

Russell Tobin; Beaverton (OR); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare coverage (medical, dental,/

401(k) retirement savings

Job summary

Russell Tobin is seeking a hands-on Senior Data Engineer to join a high-impact enterprise data team in Beaverton. You will design scalable data products, build distributed pipelines, and improve profitability through robust data solutions.

You will work with Databricks, Spark, Python, Snowflake, and SQL to enhance data architecture, tooling, and CI/CD practices, collaborating with product owners and stakeholders on critical initiatives.

Qualifications

• Bachelor’s degree in Computer Science or a related technical field.
• 8–10+ years of data-related experience.
• Advanced Spark, Python, Snowflake, and SQL expertise.
• Experience using AI tools professionally or contributing to AI initiatives.
• Large-scale data pipeline and data warehousing experience.
• Excellent communication and cross-functional collaboration skills.
• Ability to work onsite in Beaverton under a 4/1 hybrid schedule.
• Previous experience with the end client is mandatory and will be verified during screening.

Responsibilities

• Design and implement scalable data products and distributed data pipelines.
• Build solutions using Databricks, Spark, Python, Snowflake, and SQL.
• Contribute to data architecture, engineering frameworks, and reusable tools.
• Troubleshoot complex data and performance issues.
• Implement automated testing and support CI/CD practices.
• Partner with technical teams, analysts, product owners, and business stakeholders.
• Support new AI tools, capabilities, and data initiatives.

Skills

Excellent communication

Cross-functional collaboration

Data-driven decision making

Education

Bachelor’s degree in Computer Science or related field

Tools

Spark

Python

Snowflake

SQL

Databricks

Job description

Russell Tobin is seeking a hands-on Senior Data Engineer to join a high-impact enterprise data team in Beaverton. You will design scalable data products, build distributed pipelines, and improve profitability through robust data solutions.

You will work with Databricks, Spark, Python, Snowflake, and SQL to enhance data architecture, tooling, and CI/CD practices, collaborating with product owners and stakeholders on critical initiatives.