GrepJob
Seneca Holdings

Informatics Lead/Cloud Data Engineer

Seneca Holdings
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about 2 hours ago
Atlanta, GA, USASenior / Staff+

Responsibilities

  • Serve as the primary technical architect for the One CDC Data Platform.
  • Direct full-lifecycle data operations from cloud ingestion to predictive model deployment.
  • Design and implement secure multi-source data ingestion and validation processes.
  • Operationalize advanced analytics SaaS environments for unified data insights.
  • Architect real-time data validation checks within cloud pipelines.
  • Collaborate with biostatisticians to scale predictive modeling scripts.
  • Ensure compliance with the Federal SHARE IT Act for software code registration.
  • Develop project architecture documentation for HHS audits.
  • Incorporate zero-trust access profiles across database networks.
  • Enforce secure coding principles and manage CI/CD pipeline infrastructure.

Requirements

  • Master's degree in Health Informatics, Computer Science, Data Engineering, or a related field.
  • Ability to obtain and maintain an active favorable Tier I background check.
  • 8+ years of progressive data architecture experience in federal health programs.
  • 5+ years of experience leading modernization initiatives in cloud configurations.
  • Expertise in Databricks lakehouse frameworks and complex SQL querying.
  • Experience implementing the federal SHARE IT Act and automated metadata systems.
  • Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert required.
  • Databricks Certified Data Engineer Professional or Data Scientist required.
  • AWS Certified Data Specialist or PMP Certification preferred.

Benefits

  • Comprehensive benefits package including medical, dental, and vision.
  • Flexible work-life balance and professional development opportunities.
  • 401K retirement plan and various voluntary benefit programs.
  • Collaborative work environment that supports team members.

Tech Stack

DatabricksGitHub ActionsJenkinsSQL

Categories

AI & MLData EngineeringDevOps