Data Engineering Manager

Degree in Computer Science, Engineering, or related field 3+ years of combined technical leadership and engineering management experience 10+ years of experience in data engineering Experience building and maintaining production pipelines and distributed computing frameworks Strong expertise in Python, Spark, SQL, and Airflow Hands-on experience in pipeline architecture, code review, and mentoring junior engineers Prior experience with customer data onboarding Deep understanding of distributed data processing, pipeline orchestration, and performance tuning Ability to manage priorities, communicate clearly, and work cross-functionally Demonstrated experience leading small teams Comfortable with ambiguity, taking initiative, thinking strategically, and executing methodically Ability to drive change, inspire distributed teams, and solve complex problems Customer-oriented focus Familiarity with healthcare data (bonus) Experience with cloud platforms (AWS/GCP), databricks, streaming frameworks (Kafka/SQS), and containerized workflows (Docker/Kubernetes) (bonus) Experience building internal DE tooling, frameworks, or SDKs (bonus)

Lead, mentor, and grow a team of Data Engineers Own the design, review, and optimization of production pipelines Drive customer data onboarding projects Collaborate with senior leadership on team priorities and roadmaps Lead sprint planning and prioritize initiatives Partner with Product, ML, Analytics, and Engineering teams Ensure high data quality, observability, and automated validations Contribute hands-on to architecture and code reviews Identify and implement tools and best practices Build cross-functional relationships Hire, mentor, and develop team members Communicate technical concepts and strategies Measure team impact through metrics and KPIs