cylinderhealth - Data Engineering Manager
Requirements
• Why is this a great opportunity for a Data Engineering Manager? • Impactful Problem Domain: You’ll drive innovation by integrating and analyzing diverse datasets - including patient health records, lab results, medical claims, and population health data—to create groundbreaking insights that improve healthcare outcomes. • Early-Stage Influence: It’s still early enough that there are many decisions and discoveries to be made. This is your opportunity to shape the future of our data ecosystem. • Mission-Driven Culture: Join a team that’s passionate about improving clinical outcomes for members and advancing the field of GI health. • Proven experience (5+ years in Data or other Software Engineering with 2+ years in Data Engineering leadership roles), with a track record of successfully delivering complex software projects • Strong, hands-on expertise in modern data engineering tools and frameworks (e.g., DBT, Airflow, Google Cloud Platform), with a focus on scalability and operational excellence • Exceptional leadership and team-building skills, with the ability to motivate, mentor and inspire technical teams • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, business partners, and vendors alike • Experience working in a HIPAA regulated environment (or other regulated industry) and supporting data security and privacy controls • Strong problem-solving and decision-making abilities • Demonstrated experience building and supporting Data Warehouse solutions • Strong drive for automated testing • Familiarity with healthcare data standards such as FHIR, OHDSI, or similar • Advanced degree in Data Science, Computer Science, or a related field
Responsibilities
• Data Engineering Leadership, Strategy & Execution • Help define and execute on a strategic vision for data engineering that aligns with business goals • Collaborate with Product and other stakeholders to define and prioritize the technical roadmap, ensuring alignment with business objectives • Drive the successful execution of data engineering projects across multiple teams, including planning, resource allocation, and project management • Continue to mature data engineering best practices towards test-based development and automation • Data Infrastructure & Engineering • Oversee the development and maintenance of scalable, reliable data pipelines and infrastructure • Ensure efficient data ingestion, transformation, and storage solutions that support analytics and machine learning models • Lead efforts to integrate various data systems and platforms to create a unified patient centered dataset • Data Governance • Establish and enforce best practices for data quality, privacy, security, compliance (e.g., HIPAA) and ethical data usage • Improve operational efficiency by ensuring a 'single source of truth' for all analytics data • Team Building & Mentorship • Build and grow a high-performing team of data engineers • Foster a culture of innovation, continuous learning, and collaboration within the organization • Provide mentorship and clear career growth paths for team members • You’ll be a good fit if you are: • A Team Player: You thrive in cross-functional environments and enjoy collaborating closely with stakeholders across disciplines • Security-Oriented: You prioritize the stewardship of sensitive healthcare data, ensuring privacy and compliance at all times • Comfortable with Ambiguity: You excel in startup environments where roles and challenges evolve quickly • A Creative Problem Solver: You bring innovative solutions to complex problems and execute them effectively
Benefits
• $195K – $215K • Offers Equity • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here
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