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As a Senior Data Engineer, you'll design data architecture, manage data pipelines, develop secure production code, and collaborate with cross-functional teams to innovate healthcare technology solutions.

Own data partner specification negotiations, data mapping, Ascend platform configuration, and internal QA across multiple implementations. Review file specifications, normalize schemas, validate test files, document data dictionaries, and route non-standard requests to Product or Customer Engineering. Coordinate with delivery and engagement teams on UAT, defects, readiness, and capacity constraints. Develop repeatable QA frameworks, implementation playbooks, procedures, and training materials while ensuring configurations meet quality standards before go-live.

Own cloud security engineering for an AWS-hosted SaaS platform processing sensitive healthcare data. Responsibilities include security monitoring, incident response, vulnerability management, IAM, infrastructure hardening, secure CI/CD integration, compliance support, data protection, audit evidence, and threat detection. The role partners with SRE and Software Engineering to embed security into architecture and development practices, while participating in security on-call rotations and occasional travel.

Manage end-to-end customer implementations, coordinating data loading, application configurations, and cross-functional activities, while driving project plans and reporting across multiple accounts.

Lead and grow a small SRE/DevOps team to ensure reliability, scalability, and compliance of an AWS-hosted SaaS platform handling PHI. Accountable for SLOs/SIIs, incident response, IaC (CDK/Terraform), CI/CD (GitHub Actions), observability, cost and capacity planning, security/compliance (HIPAA/SOC2/HITRUST), DR planning, and cross-functional partnership with engineering, product, and security.