Data Platform Engineer IV

Data Platform Engineer IV – Hybrid (In office 3 days/week, Oregon, Washington, Idaho or Utah)

We are looking for an experienced Senior Data Engineer who will serve as the technical lead for a team of Data Engineers. You will design, build, and optimize scalable data pipelines and platform capabilities that power conventional and agentic analytics, data products, and operational reporting across the organization. The environment is built on Snowflake, dbt, Snowflake stored procedures, and Airflow.

• Lead and mentor Data Engineers; drive engineering standards and best practices.
• Architect, build, tune, and automate scalable Snowflake‑based ELT pipelines using dbt, stored procedures, and orchestration tools.
• Collaborate with the Data Modeling team to design scalable data models and warehouse layers that support analytics and operational workloads.
• Optimize Snowflake performance (query tuning, compute sizing, workload isolation).
• Partner with analytics, product, and business teams to deliver high‑quality data solutions.
• Ensure high data quality, thorough testing, complete documentation, and simplified platform observability.

• At least 6+ years of relevant experience in Data Engineering or Data Platform Engineering, with senior or lead experience.
• College degree in Computer Sciences, Mathematics, Business Administration, or related fields (or equivalent experience).
• Strong background in building and optimizing data pipelines; excellent SQL skills.
• Hands‑on expertise with Snowflake, dbt, and modern ELT practices.
• Experience designing and developing stored procedures (SQL/Python) in Snowflake.
• Familiarity with Airflow, Open Flow, or similar orchestration tools.
• Strong data modeling, pipeline design, and performance optimization skills.
• Experience migrating data from one platform to another and integrating into new and existing tables.
• Good communication skills and ability to mentor and collaborate across teams.
• Knowledge of data governance, security, and compliance.

• Experience in healthcare or complex enterprise data environments.
• Experience with semantic layers, metadata management, or streaming data.
• Python, Dev Ops/Data Ops, CI/CD, and version‑controlled development workflows.

We are an Equal Opportunity Employer dedicated to a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required. If you need accommodation for any part of the application process because of a medical condition or disability, please email C