Data Engineer at Lumere
Lumere, a GHX company, is an organization comprised of clinicians, researchers, pharmacists and strategic thought leaders focused on helping health systems eliminate unwarranted clinical variation and cut unnecessary costs—specifically related to device and drug selection and utilization.
We are guided by our Core Values:
Seek the frontier - Whatever your role, we are inspired by those who blaze trails and challenge the status quo.
Obsess about impact - It’s our responsibility to bring bold innovation that leads to enduring change in healthcare.
Do your best work - We seek individuals who care deeply about learning and teaching, and high performers who are even more self-aware.
Welcome respectful debate - Our best ideas have come from active collaboration, are often based on limited information, and can contradict personal experience.
Succeed, as one team - We have a single purpose and motivate each other to achieve it.
As a Data Engineer, you will build scalable automated pipelines for collecting data from our constituent healthcare systems and 3rd party data providers. These data feeds support Lumere’s analytics and research solutions that drive cost-savings and outcomes improvement at hospitals. You will apply engineering best practices to test and deploy new pipelines and to track and monitor pipeline status.
What are some of the things you will help us with?
Build and operate stable, scalable data pipelines that cleanse, structure and integrate disparate data sources
Monitor and report on the status and performance of data pipelines
Collaborate cross-functionally to design and deliver new data feeds that meet business requirements
Implement development best practices, version control and deployment strategies to ensure product quality, agility and recoverability
Solve complex technical problems and mentor/support other technical staff on data modeling and ETL related issues
5+ years of experience with database and warehouse technical architectures, ETL/ ELT, reporting/analytic tools, and data validation techniques
Advanced knowledge and expertise with data modeling
Proficient in the composition of advanced SQL and database performance tuning
Experience with PostgreSQL, CloverDX, Snowflake, or Python scripting a strong plus
Exposure to machine learning models a plus
Experience working with healthcare data (esp. EHR/EMR) is not required, but preferred
Growth-company DNA – you thrive in a fast paced environment, adapt quickly and successfully manage ambiguity