Lead Data Engineer, Nuna Incorporated

• Deep hands-on expertise in designing, coding, developing, and maintaining data platforms that support data analytics and data science use cases
• Proven ability to design, develop and implement robust data ingestion pipelines (ETL) from external sources into a data platform
• Experience establishing standards for code development, deployment, and contributions in a data engineering environment
• Ability to solicit and translate customer and business needs into requirements and an evaluation framework
• Interest in improving healthcare and working with interdisciplinary project teams
• Clear communication and presentation skills
• Experience with Databricks
• Expertise in data platform languages such as python, pyspark and SQL
• + 5-10 years of industry experience with technical lead experience of running a data platform for business operations

Desirable

• We are looking for someone who is excited to use their creativity and engineering skills to make a difference in healthcare
• You will have a foundational role on a team building a consumer product that incentivizes healthy behavior
• You will be responsible for the data architecture and direction of the data platform that powers our data operations and data science initiatives
• Own the architecture and evolution of the data platform, based on business needs and considering trade-offs in timelines, cost, and resources
• Define and enforce standards for code development, contribution, and deployment for data engineering workflows
• Oversee integrations with external services, including data ingestion, distribution, and service-to-service data flows
• Contribute hands-on to data transformations and optimizations
• Establish security, governance, and operational best practices for the data platform in collaboration with security and enterprise data engineering teams
• Curate and develop datasets needed to support Data org project deliverables
• Collaborate with cross-functional partners in engineering, design, and product to develop solutions
• Generate and prioritize new opportunities for improvements
• Provide build vs buy assessments and recommendations as the platform expands