Data Engineer (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in United States.

As a Data Engineer, you will play a key role in modernizing the flow, transformation, and integration of public health data to drive actionable insights at scale. You will design and maintain high-performance, secure data pipelines, collaborate with cross-functional teams including data architects, data scientists, and product stakeholders, and lead the migration from legacy systems to modern architectures. This role offers the opportunity to work on meaningful, mission-driven projects that directly impact public health outcomes. Ideal candidates are technically strong, thrive in complex and fast-paced environments, and bring both hands-on engineering skills and the ability to mentor and elevate the data engineering team.

Accountabilities:

• Design, implement, and operate secure, scalable data pipelines for real-time and batch processing of sensitive health data.
• Architect ETL/ELT pipelines using tools such as NiFi, Kafka, Python, and SQL, optimizing for performance and reliability.
• Collaborate with interoperability, product, and data science teams to modernize legacy pipelines and ensure smooth data exchange.
• Define monitoring, alerting strategies, and operational runbooks to support production teams.
• Troubleshoot production issues to maintain stable, high-performance pipelines.
• Drive continuous improvement across the data ecosystem through innovation and collaboration.
• Contribute to high-quality, scalable integrations that accelerate product development.
• Maintain technical documentation and share knowledge across teams to ensure efficient workflows.

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• 3+ years implementing enterprise-grade data pipelines, or 7+ years of equivalent experience.
• Hands-on expertise with NiFi, Kafka, Python, and SQL in cloud environments.
• Experience with relational databases, CI/CD practices, and DevOps collaboration.
• Familiarity with OpenSearch/Elasticsearch and distributed data systems.
• Strong understanding of data security and compliance requirements for sensitive health data.
• Excellent cross-functional collaboration, communication, and technical documentation skills.
• Growth mindset and proactive problem-solving approach in complex, mission-driven projects.

Preferred Qualifications:

• Experience with healthcare data standards (HL7 v2.x, FHIR) and terminologies (LOINC, CVX, SNOMED, ICD-10).
• Expertise in event-driven architectures, data de-identification, and containerized deployments (Docker, Kubernetes).
• Familiarity with integration engines (e.g., Rhapsody, Mirth) or Master Patient Index (MPI) solutions.