Engineering Manager

Who you are

• 5+ years of hands-on engineering experience, with a focus on Big Data and distributed system and infrastructure
• 2+ years of managing engineering teams, with a track record of building and mentoring high performing teams
• Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc
• Experience with stream processing systems such as Kafka and RedPanda
• Proficiency with technologies such as Temporal, Apache iceberg, AWS glue, Spark, DBT, and Soda
• Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps
• Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success
• Preference for managing healthcare data standards (e.g. HIPAA, EDI)
• A desire to be a part of our mission to improve the U.S. healthcare system
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

What the job involves

• We are seeking an execution-focused and visionary Data Engineering Manager to lead our Data Platform Team
• In this critical role, you will manage a team of talented engineers dedicated to building the common, reusable abstractions and high-throughput data infrastructure that power Garner’s internal and external applications
• You will champion an AI-native development philosophy and scale our data pipeline capabilities, ensuring our systems seamlessly support the heavy computational demands of our next phase of company-wide growth
• Lead and manage the Data Platform Engineering team, owning the end-to-end design, implementation, and operational excellence of systems that process complex healthcare data
• Provide high-quality technical contributions and architectural guidance, establishing robust standards for data modeling, processing, and system maintainability
• Build and optimize common data abstractions, pipelines, and frameworks designed for high scalability, ensuring our platform keeps pace with exponential enterprise data growth
• Translate complex, ambiguous business and data requirements into well-scoped, accurately estimated, and composable architectural pieces
• Foster and drive an AI-native engineering culture within the team, integrating cutting-edge AI tools and integrations to enhance development workflows and automate data operations
• Manage and grow stakeholder relationships across Engineering and Product, aligning team priorities with departmental OKRs and broader business goals
• Mentor, coach, and guide your team members, conducting detailed design reviews and managing robust Root Cause Analyses (RCA) to continuously elevate technical rigor
• Technologies we use:
• Python, Spark, dbt, SnowFlake, Iceberg, Airflow, OpenMetadata, Kubernetes, NATS, AWS, Terraform, Claude Code

Benefits

• Flexible PTO
• Garner for Garner (employees enrolled in a Garner medical plan gain access to the Garner benefit to find Top Providers and get reimbursed for eligible expenses)
• Hybrid and remote work
• Team meets twice each year to spark innovation and foster belonging
• Variety of social programs beyond work hours
• Equal paid parental leave (12 weeks) following the birth, adoption or placement of a child
• 401(k) plan with a 2% company match and immediate vesting
• Other financial benefits such as Flexible Spending Accounts and mortgage assistance