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# Sr. Data Engineer

- **Company:** Seattle Children's
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $129,992.0 - $194,988.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Business Analytics Applications, BigQuery, Databases, Continuous Delivery, Continuous Integration, Data Auditing, Information Engineering, Data Infrastructure, Data Integration, Data Visualization, Data Warehousing, R (Programming Language), SPSS (Software), Python (Programming Language), Systems Development Life Cycle, Query Optimization, Cloud Services, SAS (Software), SQL Stored Procedures, SQL Databases, Test Case, Test-Driven Development (TDD), Apache Spark, Test Scripts, Information Technology, Google Bigquery, Api Design, Software Version Control, Data Pipelines
- **Published:** August 1, 2026
- **Apply:** https://dejobs.org/x/x/613DDC819B2F4A7F8B4936433AD5565B/job/

## About the Role

Bachelor's Degree in computer science or related field, or equivalent combination of education and experience/technical training that demonstrates analytical and technical competency. Minimum of five (5) years technology industry or related experience, including items such as: Build highly scalable, scaled-out architectures on large scale database platforms. Experience working in a complex data infrastructure environment. Five (5) years of experience in a data engineering role. Extensive and in depth data pipeline development experience with industry standard data integration tools. Experience building scalable data pipelines using Spark or Spark-SQL with Airflow scheduler/executor framework or similar scheduling tools. Experience with cloud platforms with GCP preferred. Experience with Google BigQuery or equivalent. Advanced competency in SQL with ability to perform query optimization in large scale database platforms. Experience in SDLC process with requirements gathering, analysis,
architecture, design, implementation, testing, deployment and technical support. Experience with any industry standard tool for Source Control and Project Management. Experience writing test cases and test scripts for data quality assurance. Experience creating stored procedures and functions. Experience developing dimensional data model with any industry standard tool., Experience in Healthcare or related industry. Experience GCP cloud services and data warehouse stores like BigQuery. Experience productizing/automating predictive models that use R, SAS, Python, SPSS, etc. Experience in version control and CI/CD (Continuous integration and continuous delivery) tools. Familiarity with Agile framework and test driven development methodology for analytic solutions. API development. Data visualization and/or dashboard development.



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