Data Engineer

InductiveHealth Informatics

. Shape the future of the data interoperability platform.

Posted 10/30/2026full-timeRemote • United StatesMid-LevelSenior💰 $130,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating secure, high-performance data pipelines using NiFi, Kafka, Python, and SQL, while ensuring compliance with data security standards. Proven ability to collaborate cross-functionally and implement CI/CD practices for efficient data integration and management.

Highest-signal resume keywords

Data Pipeline ImplementationETL/ELT OptimizationCI/CD Best PracticesCloud Deployment (Azure/AWS)Data Security and Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

NiFiKafkaPythonSQLETL/ELT PipelinesCI/CD PracticesData SecurityRelational DatabasesOpenSearch/ElasticsearchData Interoperability

Soft Skills

Cross-Functional CollaborationClear CommunicationTechnical DocumentationProblem SolvingGrowth Mindset

Tools & Technologies

GitHubGitHub ActionsNiFi RegistryGrafanaAzure MonitorCloudWatchDockerKubernetesTerraformBicep

Industry Keywords

Public Health DataHealthcare Data StandardsHL7FHIRData De-identificationMaster Patient IndexData DeduplicationEvent-Driven ArchitecturesSensitive Data HandlingIAM/RBAC

Tech Stack

Tools & technologies

AWSAzureCloudDockerElasticSearchETLGrafanaKafkaKubernetesPythonSQLTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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