Back End Data Engineer

About the Role

In today’s disruptive landscape, Deloitte’s Strategy & Analytics Portfolio empowers organizations with cutting-edge solutions in data analytics, robotics, and AI. As a Platform Developer, you’ll contribute to a Data-as-a-Service Platform serving thousands of users, helping government and public sector clients achieve mission-critical goals through advanced analytics and innovative technologies.

The Team

Deloitte’s Government and Public Services (GPS) team comprises 15,000+ professionals committed to driving impact through fresh ideas and transformative outcomes. The AI & Data Engineering group specializes in developing advanced analytics tools, data visualization, and statistical programming solutions, ensuring actionable insights for decision-makers.

Work You'll Do

• Design, develop, and maintain a Data-as-a-Service Platform for large-scale use.
• Implement and support AWS Data Lake services, including AWS Glue, S3, Lambda, SNS, and IAM.
• Deploy and manage Kubernetes solutions on public cloud platforms (AWS, GCP, Azure).
• Utilize programming and scripting tools such as Terraform, Ansible, and Python.
• Collaborate within agile frameworks (e.g., Scrum, Kanban) using tools like Jira and Confluence.
• Apply DevOps practices, ensuring continuous integration and automation with tools like Jenkins, GitLab, and GitHub.

Required Qualifications

• Bachelor's degree in a related field.
• 1–2 years of experience with AWS Data Lake services (e.g., AWS Glue, S3, Lambda, SNS, IAM).
• 1+ years of experience deploying and managing Kubernetes on public IAAS providers.
• 2+ years of programming/scripting experience (e.g., Terraform, Ansible, Python).
• Active Secret US Security Clearance.
• Completed or ability to complete DoD 8570 IAT Level II certification (e.g., Security+, CCNA-Security, CySA+) within two weeks of hire.
• Local to Dayton, OH, with availability to work onsite 1–2 days per week.

Preferred Qualifications

• 1–2 years of experience developing data lakes/datamarts on the Databricks platform.
• Strong problem-solving, analytical, and communication skills.
• Knowledge of agile development practices and tools.
• Experience with DevOps tools and processes, including CI/CD pipelines.

Additional Information

For applicants requiring accommodations, please visit: Deloitte Assistance for Disabled Applicants.