[Hiring] Data Science Engineering Manager @For People

Role Description

As the Data Science Engineering Manager for our Medicaid programs, you will directly influence the quality of care for millions of vulnerable Americans. By nurturing a guild of data scientists and serving as the hands-on technical anchor for one of our data science programs, you will transform fragmented healthcare data into actionable insights for our government partners. Ultimately, your leadership and technical stewardship will bridge the gap between public health policy and data engineering, strengthening the integrity of our nation's Medicaid program and helping the most vulnerable populations.

Your Opportunities

• Lead, mentor, and grow a team of 5-10 data scientists by setting clear expectations, providing regular feedback, championing professional development, and fostering a collaborative guild culture.
• Act as the daily technical lead for a smaller Medicaid data science program with 2 other data scientists by removing blockers, managing timelines, prioritizing sprint work, and ensuring the team hits critical project milestones.
• Guide the technical direction of data science workstreams, ensuring the team delivers scalable, high-quality, well-documented, and testable code.
• Design, write, and review SQL queries, Python scripts, and PySpark data transformations to extract and manipulate government Medicaid datasets.
• Partner with Data Engineering teams to coordinate the build, testing, and deployment of automated ETL data pipelines within an AWS-hosted Databricks lakehouse environment.
• Act as the primary technical point of contact for business analysts, internal leadership, and government stakeholders.
• Develop and present reporting mechanisms that provide actionable insights back to the client and internal leadership.

Qualifications

• A humble and caring attitude aligning with For People’s values– how we work with passion, fun, curiosity and sustainability, humility and respect.
• 8+ years of hands-on experience as a data scientist or data engineering professional, with at least 2 years operating in a people management, practice lead, or technical lead capacity.
• Direct experience working with health insurance data, such as Medicaid/Medicare claims or similar health datasets.
• Expert-level proficiency in SQL for querying large datasets, alongside strong Python and PySpark programming skills for advanced data analysis, transformation, and automation.
• Hands-on data engineering experience working within Databricks and modern cloud platforms to build and manage data pipelines.
• Familiarity with modern software engineering practices, including Git version control, code reviews, and CI/CD pipelines.
• Proven ability to create highly detailed technical documentation.
• Excellent communication skills with a demonstrated ability to translate complex technical concepts for non-technical stakeholders, including government clients.

Requirements

• The following elements are not required, but nice to have:
• Experience building dashboards and visualizations using BI tools such as PowerBI, AWS QuickSight, or Tableau.
• Strong foundational understanding of data warehousing principles, ETL design, and data structure/modeling best practices.

Additional Details

• You will be working on a United States government platform, and they have a few basic requirements for contractors like ourselves. You must perform all work physically within the United States at all times.
• In addition, you must be a United States citizen and be able to pass a government-performed public trust background check.

Benefits

• This position is 100% remote.
• This position's published base salary range is between $150,000 and $165,000 annually, plus generous benefits (e.g., For People pays 100% of Gold-tier employee health insurance premiums) and annual company profit sharing.

Company Description

For People is a team of skilled technologists improving government digital services for disadvantaged and vulnerable populations. We embed directly in government agencies to modernize software, systems, and platforms so that they better serve people.