Logo for Mathematica

Sr. Data Analytics Developer (Remote Eligible)

Role overview

Qualifications

  • Excellent knowledge of Python
  • Experience with Databricks
  • Familiarity with Medicare data
  • Proficiency in SQL or other statistical programming languages

Responsibilities

  • Leading the development of scalable data pipelines and analysis systems
  • Providing creative solutions for data processing optimization
  • Ensuring data quality through rigorous quality control
  • Mentoring junior developers and potentially leading small teams

Key facts

Hard skills

Other skills

  • Problem Solving
  • Team Leadership

About the company

Mathematica logo

Mathematica

  • Research & Scientific Services
  • Large
  • 1,001–5,000
As a partner to organizations around the world committed to improving public well-being, Mathematica uses social science, data science, digital solutions, and technology to build knowledge, evidence, and action-ready insights. From climate change mitigation to pandemic response, from improving patient care to closing opportunity gaps, we’re proud to be partners in progress on environmentally conscious, socially responsible, and sustainable solutions to build a more equitable and just world.

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

We are seeking an intellectually curious Sr. Data Analytics Developer in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy. The ideal candidate  would have excellent knowledge of Python, Databricks and Medicare data.will work in languages such as Python and SQL, or other data engineering or statistical programming languages. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in health care data are strongly encouraged to apply.

Responsibilities:

  • Leading the development of scalable data pipelines and analysis systems involving large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy
  • Providing creative and best practice solutions for data processing optimization, commonly on cloud computing platforms
  • Ensuring data quality through all stages of data processing with rigorous quality control
  • Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found
  • Mentoring junior developers to follow technical standards and best practices, and may lead small teams of 2-3 developers

Related jobs

See all Data Analyst jobs

Other jobs at Mathematica