Providence Health & Services Machine Learning Data Engineer-Providence Research Network in Renton, Washington
Providence St. Joseph Health is calling a Machine Learning Data Engineer to our location in Renton, WA.
We are seeking a Health Insights Machine Learning Data Engineer to design and build data pipelines and models to support clinical and research applications. The ideal candidate will need to be a self-starter with outstanding analytical abilities, excellent communication skills, and comfortable in an ever-changing environment.
In this position you will have the following responsibilities:
Design, implement, and support large scale data cleaning, dataset preparation, ELT (ETL) pipeline, data structure optimization, and scripting.
Support big-data technologies and solutions (i.e. GCP Data Proc and BigQuery, Spark, Azure Databricks, Snowflake) to optimize processing of large datasets in an accurate and timely fashion.
Basic knowledge of machine learning algorithms (i.e. classification, regression, clustering, neural network etc.), feature engineering, and experience with AI platform on cloud (i.e. hyperparameter tuning on GCP AI platform or AWS SageMaker).
Actively participate in code reviews, support the overall code base, and support the establishment of standard processes and frameworks.
Required qualifications for this position include:
Bachelor's Degree in Computer Science, Engineering, Data Science or similar field
3 years in data engineering or machine learning role(s)
Experience with data pipeline and/or container tools, and CI/CD methodologies like Apache Beam, Airflow, Docker or Kubernetes, on cloud platforms like GCP or Azure
Experience with continuous integration/continuous deployment best practices
Preferred qualifications for this position include:
Master's Degree in Computer Science, Engineering, Data Science or similar field
Data science and/or cloud analytics certificates on AWS, Google Cloud Platform and/or Microsoft Azure
2 years Hands-on experience as a data engineer or machine learning engineer, working in a cloud-based environment
Experience with NLP (e.g. Word2Vec, TF-IDF), especially in a clinical or healthcare setting
Experience with data pipeline and/or container tools like Apache Beam, Airflow, Docker or Kubernetes on cloud platforms like GCP or Azure
Familiarity with clinical data or electronic medical records and clinical research activities
Hands-on expereince as a data engineer or machine learning engineer, working in a cloud-based environment. database architecture, functional requirements assessment,
About the department you will serve.
Providence Strategic and Management Services provides a variety of functional and system support services for all eight regions of Providence Health & Services from Alaska to California. We are focused on supporting our Mission by delivering a robust foundation of services and sharing of specialized expertise
We offer comprehensive, best-in-class benefits to our caregivers. For more information, visit
As expressions of God’s healing love, witnessed through the ministry of Jesus, we are steadfast in serving all, especially those who are poor and vulnerable.
Providence is a comprehensive not-for-profit network of hospitals, care centers, health plans, physicians, clinics, home health care and services continuing a more than 100-year tradition of serving the poor and vulnerable. Providence is proud to be an Equal Opportunity Employer. Providence does not discriminate on the basis of race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law.
Job Category: Analytics/Business Intelligence
Other Location(s): Montana, California, Washington, Oregon, Texas, Alaska
Req ID: 301419