Manager, Engineering
Leads the Data Platform Engineering team, building scalable batch and streaming infrastructure for complex healthcare data while guiding architecture, operations, and team development. Requires 5+ years of engineering experience and 2+ years managing engineering teams.
About the job
Responsibilities
- Lead and manage the Data Platform Engineering team, owning the design, implementation, and operational excellence of systems that process complex healthcare data.
- Provide technical contributions and architectural guidance while establishing standards for data modeling, processing, and maintainability.
- Build and optimize scalable data abstractions, pipelines, and frameworks for growing enterprise data volumes.
- Translate complex business and data requirements into well-scoped, estimated, and composable architectural work.
- Promote AI-native engineering practices, integrating AI tools to improve development workflows and automate data operations.
- Manage stakeholder relationships across Engineering and Product, aligning priorities with organizational goals.
- Mentor and coach engineers, conduct design reviews, and manage root cause analyses.
Requirements
- 5+ years of hands-on engineering experience focused on big data, distributed systems, and infrastructure.
- 2+ years managing engineering teams and building high-performing teams.
- Expertise with batch processing frameworks such as Hadoop, Spark, and EMR.
- Experience with stream processing systems such as Kafka and Redpanda.
- Proficiency with Temporal, Apache Iceberg, AWS Glue, Spark, dbt, and Soda.
- Strong ownership, proactive execution, and the ability to translate business needs into scalable technical roadmaps.
- Experience working hands-on in dynamic, fast-paced startup environments.
Nice-to-haves
- Experience managing healthcare data standards such as HIPAA and EDI.
- Interest in improving the U.S. healthcare system.
Technologies
- Python
- Spark
- dbt
- Snowflake
- Apache Iceberg
- Airflow
- OpenMetadata
- Kubernetes
- NATS
- AWS
- Terraform
- Claude Code
Compensation
- Target salary range: $310,000–$385,000.
- Eligible for equity incentives and benefits including flexible PTO, medical, dental, vision, 401(k), and Teladoc Health.
Skills
Python, Spark, dbt, Snowflake, Apache Iceberg, Apache Airflow, Openmetadata, Kubernetes, AWS, Terraform, Kafka, Redpanda, Hadoop, Temporal, Aws Glue
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