Senior Data Engineer: Scalable Cloud Pipelines

Seattle Children's; Seattle (WA); On-site; USD 130,000 - 195,000; Full time

Job summary

Seattle Children’s is seeking an experienced data engineer to design and manage scalable data pipelines. The role requires 5+ years in data engineering, expertise with Spark/Spark-SQL, Airflow, and strong SQL optimization on large-scale systems.

Preference for Google Cloud Platform and BigQuery experience. The position offers a competitive compensation package and a comprehensive benefits program, with Seattle-based applicants encouraged to apply.

Qualifications

• Bachelor’s Degree in computer science or related field, or equivalent combination of education and experience.
• Minimum of five years technology industry or related experience.
• Extensive 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.

Skills

Data engineering

Spark

Airflow

SQL optimization

SDLC

Google Cloud Platform

BigQuery

Stored procedures

Data pipelines

Data quality testing

Education

Bachelor’s Degree in Computer Science or related field

Tools

Google BigQuery

Airflow

Spark

Job description

Seattle Children’s is seeking an experienced data engineer to design and manage scalable data pipelines. The role requires 5+ years in data engineering, expertise with Spark/Spark-SQL, Airflow, and strong SQL optimization on large-scale systems.

Preference for Google Cloud Platform and BigQuery experience. The position offers a competitive compensation package and a comprehensive benefits program, with Seattle-based applicants encouraged to apply.