Data Engineer/SQL Developer

Sunnyvale, California or Chicago, Illinois, United States. Remote option available for highly qualified candidate.

Job Type

Full Time

Responsibilities

  • Develop, maintain, and troubleshoot SQL code for existing production processes

  • Design and build SQL code for analytics, reporting, and ad-hoc projects

  • Communicate with internal and external stakeholders to understand technical and business requirements for projects

  • Optimize SQL code in line with best practices

  • Identify and resolve technical problems

  • Test and validate changes

  • Release new changes in code/data to production environment

  • Improve upon existing healthcare claims data warehouses

Requirements

  • SQL Server development experience

  • Experience with healthcare industry data (claims and eligibility)

  • Uses best practices and industry knowledge to enhance development

  • Experience modifying and running scripts used to load, extract, and manipulate data

  • Strong oral and written communication skills

Preferred

  • Demonstrated ability to translate tech lingo into laymen’s terms

  • Azure experience

  • AWS experience

About the Company

We are a small (~25 person) actuarial, health economics, and data science company that quantifies value creation in healthcare and assists in driving efficiencies in healthcare delivery. In so doing, we play an important role in advancing the Triple Aim of Healthcare: better care for individuals, better health for populations, and lower per capita costs. With over 60 peer reviewed articles and 2 textbooks, we are well published in the space of healthcare predictive analytics and outcomes measurement. Our business control cycle starts with quantifying opportunity for improvements, then moves to retrospectively measuring actual outcomes due to disruptions in the medical ecosystem, and then moves to optimizing those disruptions through the use of big data and predictive analytics. Our clients include medical device companies, care management programs, provider groups, payers, and governments.


As our predictive models have scaled, we’ve recognized the need to add data engineering expertise to our team to assist with managing the data warehouses we’ve built as well as expanding our capabilities in this area.