Data EngineerAssociate
Job Location:
Seattle, OR - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
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 Childrens Enterprise Analytics team to transform healthcare for children by providing patient safety predictive analysis to cure diseases lowering cost of treatment etc.
Data Engineer:
Required Education and Experience
Bachelors 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
Bachelors 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
$88786.00 - $161147.00 per yearSalary 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 Childrens 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 Us
Hope. Care. Cure. These three simple words capture what we do at Seattle Childrens 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 childrens hospital in the country.
U.S. News & World Report consistently ranks Seattle Childrens among the nations best childrens hospitals. For more than a decade Seattle Childrens has been nationally recognized in key specialty areas. We are honored to be one of the nations 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 its 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 Childrens 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 Childrens 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 Childrens is proud to be an Equal Opportunity Workplace and Affirmative Action Employer.
About Company
One of the best children's hospitals in the country, as ranked by U.S. News & World Report, Seattle Children's Hospital, Foundation and Research Institute advance pediatric care.
