Data Science Engineering Manager

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Science Engineering Manager in United States.

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.

Accountabilities

• 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
  
  

Requirements

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• 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

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• 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
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.