Data Engineer

October 20

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InductiveHealth Informatics

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Healthcare Insurance • Security • Artificial Intelligence

InductiveHealth Informatics is a leading provider of integrated solutions for disease surveillance and public health data management. They operate platforms such as EpiTrax, ESSENCE, and NBS to offer configurable electronic disease surveillance solutions, including AI-enhanced data migration and open-source technology for electronic laboratory and case reporting. Boasting over a decade of experience in public health technology, InductiveHealth supports public health agencies worldwide by managing jurisdictional surveillance systems and providing data infrastructure, ensuring compliance with information security standards. The company plays a pivotal role in public health intervention, rapidly detecting outbreaks, and maintaining secure and scalable data environments. InductiveHealth's success stories include the development of the COVID-19 Data Tracker, highlighting its capability in providing critical epidemiological data during global health crises.

51 - 200 employees

⚕️ Healthcare Insurance

🔐 Security

🤖 Artificial Intelligence

📋 Description

• 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. • 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 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.

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field • A minimum of 3 years of experience implementing enterprise-grade data pipelines **OR** 7 years of equivalent professional experience implementing enterprise-grade data pipelines • Someone who thrives at the intersection of technical complexity and mission-driven impact. • Proven ability to build robust, production-grade pipelines from the ground up and work confidently with distributed data systems. • A curious, proactive problem solver who excels in fast-paced, agile environments. • Hands-on expertise with NiFi, Kafka, Python, and SQL, including designing, operating, and optimizingETL/ELT pipelines in the cloud. • Experience using or integrating with OpenSearch/Elasticsearch. • Familiarity with CI/CD and DevOps practices; able to partner with DevOps/SRE to integrate pipelines into existing tooling (not responsible for platform design). • Practical experience using relational databases and existing schemas (implementing against established data models; extending under guidance). • Strong understanding of data security and compliance requirements for sensitive data. • Excellent cross-functional collaborator with clear communication and strong technical documentation skills. • A growth mindset with a passion for solving complex interoperability challenges elegantly and efficiently. • Strong communication skills to translate complex engineering concepts into clear strategies for cross-functional partners.

🏖️ Benefits

• Virtual first, remote organization and culture • Flexible Paid Time Off (PTO) • 401(k) retirement plan with corporate matching • Medical, prescription, vision, and dental coverage (multiple plans based on your needs) • Short Term and Long Term Disability (for employee) • Life Insurance (for employee) • New Team Member support for home office setup