Our mission is to be the catalyst for massive, measurable, data-informed healthcare improvement through:
Data: integrate data in a flexible, open & scalable platform to power healthcare’s digital transformation
Analytics: deliver analytic applications & services that generate insight on how to measurably improve
Expertise: provide clinical, financial & operational experts who enable & accelerate improvement
Engagement: attract, develop and retain world-class team members by being a best place to work
Job Title: Lead Data Engineer
Department: Application Suite Business – Payment Transformation, Product Development
Open Date: 07/08/19
Close Date: TBD
About Health Catalyst
Health Catalyst has been named as one of the 30 Best Workplaces in Technology by Fortune Magazine and a winner of Gallup Great Workplace award. Health Catalyst earned the highest overall score in Healthcare BI by KLAS and, for the sixth year in a row, was named to the Best Places to Work in Healthcare list by Modern Healthcare. Health Catalyst analyzes healthcare records of almost a third of the US population (65 million patients) and recently released the first open source software for healthcare machine learning: healthcare.ai.
Health Catalyst’s platform and applications are being used at leading health systems including, Partners HealthCare, Banner Health, Stanford Hospital & Clinics, Texas Children’s Hospital, and over 40 others. Health Catalyst products and services are utilized in over 400 hospitals and 4000 clinics, supporting over 90 million patients.
Our team lives the cultural attributes of Smart, Hardworking and Humble. Learn more about working at Health Catalyst here: https://www.healthcatalyst.com/company/careers/key-health-catalyst-values.
We are looking for an experienced professional to fill the role of the Payment Transformation Lead Data Engineer, working within Health Catalyst’s Product Development organization.
Duties & Responsibilities
The Lead Data Engineer will be the lead architect for the improvement & maintenance of our Claims data model & will be point for ensuring that we make significant progress in in both enabling content enhancement and making our claims models performant. This position will manage 1-2 other data engineers who will support these goals.
Provide technical expertise in design, build and launch of improved data models and pipelines.
Drive the technical and engineering approaches for various initiatives around the claims data platform demonstrating strong knowledge of modern data architecture.
Manage, prioritize, delegate &/or execute request backlog in timely fashion.
Be part of the Payment Transformation leadership team, collaborate effectively with Dev, Implementation & other leaders.
Expert level MS-SQL
Deep understanding of claims data (medical, Rx, enrollment/eligibility) & maximizing the potential value from varying data sets
Expertise in value-based care concepts and structuring claims data to support
Expert level experience in data architecture and infrastructure, dimensional data modeling, SSAS, Tabular, Cubes within a data engineering domain
Expert design and implementation level experience, including implementing data models (logical and physical), data warehouse design and data engineering best practices
Project management skills and experience with Agile Project Management methodology
Ability to learn new technologies and evaluate multiple technologies to solve a problem
Expertise in using the Health Catalyst Platform a plus
Strong relationship/team building, written and verbal communication skills
Strong problem-solving skills paired with the ability to develop creative and efficient solutions; tolerance in dealing with bad quality data
Knowledge of developing and maintaining formal documentation that describes data and data structures including data architecture, data infrastructure and data models
Team-oriented, goal-oriented and flexible with proven track record in collaborating with multiple stakeholders
Education & Relevant Experience
Bachelor’s degree in Computer Science, Information Systems, Technology, Engineering or related field - in combination with experience, is required in order to understand relevant technology.
Master’s degree in Computer Science, Information Systems, Technology, Engineering or related field is preferred.
The above statements describe the general nature and level of work being performed in this job function. They are not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Health Catalyst.
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