Data Engineer/Associate

Data Engineer

The Data Engineer responsibilities include building a data processing pipeline that collects, connects, centralizes, and curates data from various internal and external sources using a variety of languages and tools to marry systems together for the Enterprise Data Warehouse. This includes leveraging modern cloud platforms and services to develop highly scalable, secure and reliable data engineering solutions for efficiently moving and transforming data across systems. Additional responsibilities include designing, implementing, testing, and deploying cloud-based data processing infrastructure; performing work in an Agile team setting; and breaking down, estimating, and providing just-in-time design for small increments of work. This role is pivotal to the mission and vision of Seattle Children's Enterprise Analytics team to transform healthcare for children by providing patient safety, predictive analysis to cure diseases, lowering cost of treatment, etc.

Required Education and Experience 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 two (2) 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. Two (2) years of experience in a data engineering role. 2+ years of experience building highly scalable applications, specifically with coding languages such as Python and SQL (Structured Query Language). 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. 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 with Google BigQuery or equivalent Required Credentials N/A. Preferred 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 test-driven development methodology for analytic solutions. Familiarity with Agile framework and test-driven development methodology for analytic solutions. API development. Data visualization and/or dashboard development.

Data Engineer Associate

Required Education and Experience Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or related field, or equivalent combination of education and technical training. Demonstrated experience through internships, academic projects, research projects, capstone programs, open-source contributions, or equivalent hands-on technical experience. Coursework or practical experience in databases, data structures, software development, analytics, or cloud technologies. Experience writing SQL queries and performing basic data analysis. Experience programming in Python or similar programming language. Understanding of ETL/ELT concepts and data integration principles. Familiarity with source control tools such as Git/BitBucket. Basic understanding of cloud computing concepts. Preferred Internship experience in Data Engineering, BIE(Business Intelligence Engineer), Software Engineering, AI, or related field. Experience building data pipelines through academic, internship, research, or personal projects. Exposure to cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure. Familiarity with BigQuery, Snowflake, Databricks, Spark, or similar technologies. Experience with workflow orchestration tools such as Airflow. Exposure to APIs, data integration, or automation projects. Completion of coursework, certifications, bootcamps, or specialized training in Data Engineering, Cloud Computing, Analytics, or AI. Experience using generative AI tools, LLMs, or data-focused AI projects. Healthcare or healthcare analytics experience is a plus.

Compensation Range $88,786.00 - $161,147.00 per year

Salary Information This compensation range was calculated based on full-time employment (2080 hours worked per calendar year). Offers are determined by multiple factors including equity, skills, experience, and expertise, and may vary within the range provided.

Disclaimer for Out of State Applicants This compensation range is specific to Seattle, positions located outside of Seattle may be compensated differently depending on various factors.

Benefits Information Seattle Children's offers a generous benefit package, including medical, dental, and vision plans, 403(b), life insurance, paid time off, tuition reimbursement, and more. Additional details on our benefits can be found on our website

About Us Hope. Care. Cure. These three simple words capture what we do at Seattle Children's – to help every child live the healthiest and most fulfilling life possible. Are you ready to engage with a mission-driven organization that is life-changing to many, and touches the hearts of all? #HOPECARECURE

Our founding promise to the community is as valid today as it was over a century ago: we will care for all children in our region, regardless of the families' ability to pay. Together, we deliver superior patient care, advance new discoveries and treatments through pediatric research, and serve as the pediatric and adolescent, academic medical center for Washington, Alaska, Montana and Idaho – the largest region of any children's hospital in the country. U.S. News & World Report consistently ranks Seattle Children's among the nation's best children's hospitals. For more than a decade, Seattle Children's has been nationally recognized in key specialty areas. We are honored to be one of the nation's very best places to care for children and the top-ranked pediatric hospital in Washington and the Pacific Northwest.

As a Magnet designated institution, we recognize the importance of hiring and developing great talent to provide best-in-class care to the patients and families we serve. Our organizational DNA takes form in our core values: Compassion, Excellence, Integrity, Collaboration, Equity and Innovation. Whether it's delivering frontline care to our patients in a kind and caring manner, practicing the highest standards of quality and safety, or being relentlessly curious as we work towards eradicating childhood diseases, these values are the fabric of our culture and community. The future starts here.

Our Commitment Seattle Children's welcomes people of all experiences, backgrounds, and thoughts as this is what drives our spirit of inquiry and allows us to better connect with our patients and families. Our organization recruits, employs, trains, compensates, and promotes based on merit without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The people who work at Seattle Children's are members of a community that seeks to respect and celebrate all the qualities that make each of us unique. Each of us is empowered to be ourselves.

Seattle Children's is proud to be an Equal Opportunity Workplace and Affirmative Action Employer.