Data Engineer

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $130k - $145k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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InductiveHealth Informatics

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

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.

📋 Description

• Shape the future of the 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 development, test, and production. • Deploy and operate data pipelines on Azure and AWS with DevOps/SRE collaboration. • Apply CI/CD practices including 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, including Grafana dashboards and alerts, and create operational runbooks. • Troubleshoot production issues to maintain stable and performant pipelines. • Drive continuous improvement across the data ecosystem. • Build and deliver high-quality, scalable integrations. • Share knowledge and ensure smooth, efficient development workflows.

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. • 3+ years of experience implementing enterprise-grade data pipelines, or 7+ years of related professional experience that includes building and operating production data pipelines. • Hands-on expertise with NiFi, Kafka, Python, and SQL, including designing, operating, and optimizing ETL/ELT pipelines in the cloud. • Proven ability to build robust, production-grade pipelines from the ground up and work confidently with distributed data systems. • Hands-on experience deploying and operating data pipelines in Azure or AWS, including secure handling of sensitive data (IAM/RBAC, encryption, secrets management). • Experience implementing CI/CD best practices for data pipelines with GitHub and GitHub Actions, including NiFi flow versioning and promotion (NiFi Registry), automated testing, and peer-reviewed releases. • Able to partner with DevOps/SRE to integrate pipelines into existing tooling. • Experience using or integrating with OpenSearch/Elasticsearch. • Practical experience using relational databases and existing schemas. • Strong understanding of data security and compliance requirements for sensitive data. • Excellent cross-functional collaborator with clear communication and strong technical documentation skills. • A curious, proactive problem solver with a growth mindset who thrives in fast-paced, agile environments and is motivated by mission-driven work and complex interoperability challenges. • Preferred/standout experience includes healthcare data standards such as HL7 v2.x and FHIR; LOINC, CVX, SNOMED, and ICD-10; event-driven architectures; data de-identification; Rhapsody or Mirth; Docker or Kubernetes; Terraform, Bicep, or CloudFormation; Grafana, Azure Monitor, or CloudWatch; scaling production data platforms; and Master Patient Index or data deduplication frameworks.

🏖️ 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

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