Manager of Engineering (Data Platform)

Join Garner, a mission-driven company focused on improving the U.S. healthcare system. As the Manager of Engineering for the Data Platform, you will lead a team of talented engineers in building high-throughput data infrastructure and common, reusable abstractions. You will champion an AI-native development philosophy, manage stakeholder relationships, and mentor your team members. Enjoy benefits such as flexible PTO, hybrid and remote work options, and a 401(k) plan with a company match.

• Lead and manage the Data Platform Engineering team, overseeing the design, implementation, and operational excellence of systems that process complex healthcare data.
• Champion an AI-native development philosophy and scale data pipeline capabilities, ensuring systems support the heavy computational demands of company growth.
• Build and optimize common data abstractions, pipelines, and frameworks designed for high scalability, ensuring the platform keeps pace with exponential enterprise data growth.
• Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success
• Proficiency with technologies such as Temporal, Apache iceberg, AWS glue, Spark, DBT, and Soda
• 5+ years of hands-on engineering experience, with a focus on Big Data and distributed system and infrastructure
• Experience with stream processing systems such as Kafka and RedPanda
• Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps
• 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
• Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc
• A desire to be a part of our mission to improve the U.S. healthcare system
• 2+ years of managing engineering teams, with a track record of building and mentoring high performing teams
• Preference for managing healthcare data standards (e.g. HIPAA, EDI)