Senior Data Engineer — ETL, Snowflake & Databricks

StanCorp Financial Group, Inc; Portland (OR); On-site; USD 132,000 - 224,000; Full time

Benefits offered by this job

Medical benefits

401(k) with match

Bonus plan

Paid time off

Parental leave

Volunteer hours

Job summary

The Standard is seeking an experienced Software Engineer IV with 10+ years of data engineering to design, implement and maintain enterprise-scale data solutions. You will work with SQL, Snowflake, dbt, Databricks and BI tools to build robust ETL/ELT pipelines and real-time data processing.

Ideal candidates have deep hands-on experience across analytics infrastructure, production support, and collaboration with cross-functional teams to deliver scalable data platforms and insights.

Qualifications

• Bachelor's degree in computer science, information technology, engineering, or related field preferred.
• 10+ years of hands-on data engineering experience in complex enterprise environments.
• Experience supporting high-volume production data platforms and collaborating across architecture, development, infrastructure, and business teams.

Responsibilities

• Design, develop and support enterprise-scale data solutions.
• Build and optimize ETL/ELT pipelines for real-time and batch processing.
• Perform data transformations and production-grade data integrations.
• Troubleshoot, optimize and support complex data pipelines across systems.

Skills

SQL

Snowflake

dbt

Databricks

ETL/ELT

Real-time processing

Performance tuning

CI/CD

PowerBI

Sisense

Education

Bachelor's degree in CS/IT/Engineering

Tools

Git

Job description

The Standard is seeking an experienced Software Engineer IV with 10+ years of data engineering to design, implement and maintain enterprise-scale data solutions. You will work with SQL, Snowflake, dbt, Databricks and BI tools to build robust ETL/ELT pipelines and real-time data processing.

Ideal candidates have deep hands-on experience across analytics infrastructure, production support, and collaboration with cross-functional teams to deliver scalable data platforms and insights.