[Hiring] Data Science Engineering Manager @Jobgether

Role Description

This is a high-impact leadership role at the intersection of data science, engineering, and public sector innovation. You will guide a team of data professionals while remaining hands-on in delivering advanced analytics solutions that directly influence healthcare outcomes. Working in a fully remote, mission-driven environment, you will transform complex datasets into actionable insights that support critical decision-making. The role combines people leadership, technical expertise, and stakeholder collaboration to drive scalable, high-quality data solutions. You will play a key role in shaping data strategy, optimizing processes, and ensuring reliable delivery across projects. This position is ideal for a leader passionate about using data to create meaningful societal impact.

• Lead, mentor, and develop a team of data scientists, fostering a collaborative and high-performing culture
• Act as the technical lead for data science initiatives, ensuring timely delivery and alignment with project goals
• Design, develop, and review scalable data solutions using SQL, Python, and PySpark
• Collaborate with data engineering teams to build and optimize ETL pipelines in cloud-based environments
• Translate complex data into clear, actionable insights for stakeholders and leadership
• Serve as the primary technical point of contact for cross-functional teams and external partners
• Drive best practices in data architecture, documentation, testing, and deployment
• Monitor project performance, remove blockers, and continuously improve workflows and processes

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field
• 8+ years of experience in data science or data engineering, including at least 2 years in a leadership or management role
• Strong experience working with healthcare datasets such as Medicaid or Medicare claims is highly preferred
• Advanced proficiency in SQL, Python, and PySpark for large-scale data processing and analysis
• Hands-on experience with modern data platforms such as Databricks and cloud environments (e.g., AWS)
• Solid understanding of data engineering principles, ETL processes, and data modeling techniques
• Familiarity with software development best practices including version control and CI/CD pipelines
• Excellent communication skills with the ability to explain technical concepts to non-technical audiences
• Strong problem-solving mindset with the ability to manage multiple priorities in a fast-paced environment

Benefits

• Competitive salary range of $150,000 – $165,000 annually
• Fully remote work environment with strong emphasis on work-life balance
• 100% employer-paid premium health insurance coverage for employees
• Annual profit-sharing opportunities
• Flexible working hours to support personal and family needs
• Generous paid time off and holidays
• Supportive, inclusive culture focused on well-being and professional growth
• Opportunities to work on meaningful projects with real societal impact