Senior Healthcare Data Analytics Engineer - Remote

Mathematica, Inc.

Princeton (NJ)

Remote

USD 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Employee Stock Ownership (ESOP)
Competitive benefits
Remote-eligible

Job summary

Mathematica, Inc. is seeking a Sr. Data Analytics Developer to advance big-data research in health care policy. The role is remote-eligible and involves building scalable data pipelines using Python, SQL, and cloud platforms such as Databricks on AWS/GCP/Azure.

You will lead data engineering efforts, ensure data quality, mentor junior developers, and translate complex findings for researchers and policy teams. A strong background in health care data and 5+ years of programming is expected.

Qualifications

  • 5+ years of in-depth programming experience in a professional or academic environment.
  • Programming with Python, SQL, SAS, R, or Stata; experience with data pipelines and analytics on cloud platforms.
  • Strong communication and leadership abilities to guide teams and translate technical findings for researchers.

Responsibilities

  • Lead the development of scalable data pipelines and analysis systems using Medicare/ Medicaid data and surveys.
  • Provide solutions for data processing optimization on cloud platforms.
  • Ensure data quality with rigorous quality control across processing stages.
  • Mentor junior developers and potentially lead small teams.

Skills

Python
SQL
SAS
R
Stata
Databricks
AWS
GCP
Azure

Education

Bachelor's degree in Computer Science or related field
Master's degree preferred

Tools

Databricks
AWS
GCP
Azure

Job description

Mathematica, Inc. is seeking a Sr. Data Analytics Developer to advance big-data research in health care policy. The role is remote-eligible and involves building scalable data pipelines using Python, SQL, and cloud platforms such as Databricks on AWS/GCP/Azure.

You will lead data engineering efforts, ensure data quality, mentor junior developers, and translate complex findings for researchers and policy teams. A strong background in health care data and 5+ years of programming is expected.

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