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Data Engineering Lead

About Lumere:

At Lumere, we are clinicians, researchers, engineers, analysts, marketers, and strategic thought leaders focused on one mission: helping hospital leaders and physicians deliver the highest quality, most efficient care by uncovering and eliminating unwarranted care variation and unnecessary costs - specifically related to device and drug selection and utilization.

Our vanguard approaches? Partnering with health systems to ensure that care delivery choices are always backed by data and guided by evidence, drug and device costs are justified by clinical outcomes, and doctors and hospital leaders have access to the right insights and analytics to make the best care decisions for every patient.

What you will be doing:

The Data Engineering Lead is responsible for managing all aspects of Lumere’s Data Engineering team. This position ensures that all data engineering projects, initiatives, and processes are created and followed in a way that leads to outstanding, on-time deliverables that fulfill Lumere’s business needs. Data Engineering is a multidisciplinary function at Lumere, including everything from schema design and database performance tuning to internal automation driven by our various machine learning models. The 4-5 person team comprises software engineers, a Database Administrator and one or more Data Scientists. Our Data Engineering team also provides direct support for discreet Platform Engineering and Data Operations teams.

The Data Engineering Lead has outstanding backend technical experience and the ability to successfully coach and guide other engineers as they develop their skills and their careers. The successful candidate will be an effective communicator with a focus on listening and responding to engineering team needs while guiding the work and setting the priorities of that team. They also share a passion with their teammates for delivering a market-leading, web-based solution used to transform healthcare. This position reports directly to the Chief Technology Officer.

Responsibilities include:

  • Partnering with cross-functional stakeholders to identify and plan for new data related business requirements, ensuring the details of those requirements are fully fleshed out before development begins
  • Accountability for the consistent and effective flow of work in the data engineering agile sprint cycles
  • Positioning yourself as the go to expert with internal stakeholders and seen as deeply aware of, and able to address, their technical needs
  • Working with our devops and product teams to ensure our data engineers are positioned to satisfy their sprint commitments
  • Execute against the ‘technical vision” for data, ensuring that all data engineering efforts are building toward long term success
  • Review pull requests, troubleshoot tough development issues, and foster our pair-programming and team-wide knowledge sharing efforts
  • Help to develop and maintain code standards and hold us accountable to them
  • Help team members identify their personal development priorities and provide coaching on how to get there
  • Assist in our data engineering recruiting efforts and work with the talent team to refine our hiring processes and standards


  • 7+ years of experience in software engineering or a related field
  • Extensive experience working with our stack (Python, PostgreSQL, AWS) or something similar
  • Experience building and managing production-quality ML models strongly preferred
  • BA/BS degree in computer science or other engineering degree
  • Clear and effective oral and written communication skills 
  • Organized, highly motivated individual with excellent prioritization and task management skills
  • Ability to quickly learn, understand, and work with emerging technologies, methodologies, and solutions in the technology space
  • Laser-sharp attention to detail
  • Experience working, and building strong relationships, cross-functionally
  • Growth-company DNA – thrives in a fast-pace environment and shares an excitement to lead change!
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