Data Engineer, Nuna Incorporated

• 4+ years of technical software development via Python, Spark, SQL, Git Integration, Scala and testing frameworks
• Experience building production-hardened data pipelines, with consideration for performance, scalability, reliability, and repeatability using orchestration tools like Airflow or Prefect
• Experience building Spark jobs, as well as profiling and debugging them
• Experience rapidly prototyping new product concepts, especially for enterprise clients
• Understanding of data testing concepts and the ability to consistently apply them
• Knowledge of database fundamentals like indexing and SQL queries
• Experience with AWS
• Strong oral and written communication skills, keen attention to detail and deadline driven
• A genuine interest to connect with, understand, and shape the healthcare industry

Desirable

• In this role, you’ll have the opportunity to form deep partnerships with a cross-functional team of analysts, engineers and product managers to drive continuous improvement of delivery speed and analytic quality through introduction and adoption of software development and data management best practices
• You will be responsible for design, maintenance, improvements and deployment of reusable logic in support of accurate and scalable value-based payment solutions using healthcare driven guidance
• You will provide thought leadership to product managers and influence Nuna’s product roadmap with a focus on analytic tooling maturity and scalable healthcare solutions
• Finally, you will be a force multiplier for Nuna’s analysts by introducing software development and testing practices tuned to value-based care payment models
• Automate and optimize data pipelines with a focus on logical transformations and statistical models
• Build, maintain and optimize data pipelines using big data technologies
• Consult and support health data analysts in design and deployment of scalable products for healthcare plans and providers
• Participate in the development of industry accepted healthcare data models and rules-based engines
• The Software Engineer is accountable for creating automated and scalable tools for the Health Data Analysts to accurately and efficiently implement complex value-based care programs
• The Health Data team is also responsible for the comprehension, ingestion, cleaning, and deploying of client data on schedule - ensuring data gets where it needs to go within the company