Transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design at Collective Health
Requirements
8+ years of data engineering experience in fast-paced, data-driven environments
Expertise in building scalable ETL pipelines with Spark (PySpark or Scala) and SQL
Deep understanding of data architecture, schema design, and dimensional modeling for analytics and machine learning
Proficiency in distributed systems such as Spark, Databricks, or Snowflake
Experience with event-driven architectures and streaming platforms like Kafka or Kinesis
Familiarity with data privacy, encryption, and compliance in healthcare or other regulated industries is a plus
Responsibilities
Architect Scalable Data Solutions - Design, develop, and optimize large-scale data pipelines using Spark (PySpark, Scala), Databricks, and distributed data processing frameworks
Advance Data Modeling & Architecture - Lead the design and evolution of data models to support analytical, operational, and machine-learning requirements
Enhance Data Performance & Reliability - Improve data processing performance, scalability, and reliability, while ensuring data quality and governance
Drive Cross-Functional Collaboration - Partner with Product, Engineering, Data Science, and Analytics teams to deliver high-impact data solutions that generate actionable business and clinical insights
Ensure Data Governance & Security - Implement robust security, privacy, and compliance measures for sensitive healthcare data, ensuring adherence to industry regulations
Influence Data Strategy - Provide input on data infrastructure decisions, emerging technologies, and process improvements
Other
Excellent communication skills – ability to collaborate cross-functionally and translate complex technical concepts into business impact
Mentorship experience – experience guiding engineers and fostering a collaborative, inclusive team culture
Hybrid work arrangement with 2 days/week in-office requirement
Must be located in San Francisco, CA, Plano, TX, or Lehi, UT
