Data Engineer

Mission + People + Culture: With a corporate Mission to stop disease through technology, InductiveHealth is the market leader in software-as-a-service (SaaS) solutions to public health agencies. Our People come from all backgrounds and walks of life ranging from world class experts in epidemiology, informatics, and disease surveillance to engineers and product teams building high performance, modern solutions. Mission + People are unified around a virtual first Culture centered around teamwork, relentless focus on client outcomes, and individual accountability. Why work at InductiveHealth? 1. Motivation: We value initiative-takers and self-starters who want to contribute to the success of our Team and client outcomes. 2. Curiosity: Seeking to understand and comprehend is critical - we expect and encourage questions to master job duties and grow professionally. 3. Organization: We are a Team. This means we hold each other accountable and have high expectations for performance and outcomes. 4. Feedback: "Open and honest" is part of our corporate values that builds a culture of professional growth to support client success. 5. Impact: Your individual contributions will stop the spread of disease and improve individual, community, and population health outcomes. This role is central to building our future-state architecture by modernizing how public health data moves, transforms, and informs decision-making at scale. You will contribute to the design and implementation of next-generation pipelines, ensure data reliability and compliance, and partner with integration teams on the migration from legacy systems. As part of a collaborative, agile team, you'll work closely with data architects, integration engineers, data scientists, and product stakeholders to deliver solutions that directly impact public health outcomes.

The ideal candidate thrives in complex data environments, is motivated by meaningful mission-driven work, and brings strong technical expertise and a collaborative mindset to help advance our interoperability platform. What You’ll Be Doing • Play a key role in shaping the future of our data interoperability platform. • Design and operate secure, high-performance data pipelines for real-time and batch public health data flows. • Architect and implement scalable solutions that move sensitive health data reliably and meet strict security and compliance standards. • Build and optimize ETL/ELT pipelines using NiFi, Kafka, Python, and SQL. • Build and maintain CI/CD pipelines for NiFi flows, Python, and SQL using GitHub and GitHub Actions, including flow versioning through NiFi Registry and automated promotion across dev, test, and production. • Deploy and operate data pipelines on Azure and AWS, partnering with DevOps/SRE to integrate them into existing cloud infrastructure and tooling. • Apply CI/CD best practices: pull request reviews, branch protection, automated testing and validation, parameterized environment configuration, and versioned releases with rollback. • Collaborate with interoperability, product, and data science teams to migrate legacy pipelines to modern architectures. • Fine-tune data lakes and ensure smooth data exchange across systems. • Define monitoring and alerting strategies (e. g. , Grafana dashboards and alerts) and create runbooks to support operational teams. • Troubleshoot production issues to maintain stable and performant pipelines. • Drive continuous improvement across the data ecosystem through collaboration, innovation, and strong execution. • Contribute directly to building and delivering high-quality, scalable integrations that drive rapid product progress. • Collaborate closely with teammates to share knowledge and ensure smooth, efficient development workflows. What We're Looking For • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.