Lead Data Engineer

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🕒 December 12, 2025

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Nuna Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

⚕️ Healthcare Insurance

☁️ SaaS

🤖 Artificial Intelligence

Healthcare Insurance • SaaS • Artificial Intelligence

Nuna Inc. is a healthcare technology company focused on making high-quality healthcare affordable and accessible for everyone. Nuna offers an app that serves as a companion to patients, providing personalized health guidance tailored by doctors. It supports users in tracking daily activities, managing medications, and maintaining communication with healthcare providers. The app also offers incentivized rewards for following medical advice. Nuna Inc. has significant expertise in creating Medicaid data pipelines and has partnered with healthcare leaders to develop platforms for value-based care. Their solutions are built on a foundation of strong engineering and data science capabilities to advance healthcare systems.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• health insurance • life insurance • retirement benefits • participation in the company’s equity program • paid time off, including vacation and sick leave