Careers

Open Positions

Darnell & Associates is building a selective team of experienced professionals who can lead, architect, analyze, modernize, and deliver in complex client environments.

We do not collect applications through our website. If a role aligns with your background, send us a short note and your resume by email.

Current Opportunities

Open Positions

Darnell & Associates is currently seeking experienced professionals for the following opportunities.

Senior Automation/AI Engineer

Automation Engineering AI & DevSecOps Senior-Level

Designs, builds, and maintains the automation and AI framework supporting end-to-end integration validation across the CCN NG platform. Develops reusable automation services, API validation, regression capabilities, and CI/CD integrations that enable continuous engineering validation and improve release confidence.

8+ years of software, automation, integration, or application engineering experience
Enterprise automation framework development with strong modern programming experience
API validation, CI/CD pipeline integration, and DevSecOps engineering expertise

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Integration Validation Engineer

Integration Validation Quality Engineering Healthcare Systems

Provides independent validation of synthetic healthcare transaction data, intelligent automation workflows, and automated integration capabilities supporting the CCN NG platform. Serves as the platform quality authority, ensuring engineering assets accurately reflect real-world healthcare processes, interoperability standards, and release-readiness expectations.

8+ years of systems integration, software validation, quality engineering, or enterprise application testing experience
End-to-end integration testing, API validation, and root cause analysis expertise
Experience validating automation, synthetic data, or healthcare interoperability workflows

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Senior Synthetic Data Engineer

Synthetic Data Data Engineering Senior-Level

Designs, builds, and evolves the enterprise Synthetic Data Platform supporting CCN NG. Leads development of reusable, standards-conformant healthcare transaction datasets and generation services that model real-world business scenarios while eliminating reliance on sensitive production data.

8+ years of software engineering, data engineering, or enterprise application development experience
Strong Python and enterprise data-modeling experience with APIs, databases, and automated data generation
Experience with synthetic data, healthcare transactions, cloud-native services, or CI/CD environments preferred

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Interested in Working With D&A?

Send a brief note and your resume. Tell us where your expertise fits and the kind of complex work you are best equipped to support.

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