Senior Back End Data Engineer

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace. Work you'll do Description Serve as Senior Platform Developer for our client's Data-as-a-Service Platform serving thousands of users. The team Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights. Qualifications Required: Bachelor's degree required
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Active Secret US Security Clearance Required
Competed DoD 8570 IAT Level II certification (Security+ CE, CCNA-Security, CySA+, GICSP, GSEC, CND, SSCP, CASP+ CE, CCNP Security, CISA, CISSP (or associate), GCED, GCIH, CCSP) or ability to complete certification within two weeks of starting.
2+ years of experience working with AWS Data Lake services such as - AWS Glue, S3 Lambda, SNS, IAM
1-2 years of experience in deploying and supporting Kubernetes on at least one public IAAS provider (AWS, GCP, Azure)
2+ years of experience in programming/scripting languages (Ansible, Terraform, and Python).
Local to Dayton, OH and able to go onsite 1-2 days per week
Preferred Skills 1-2 Years of experience in developing data lakes, datamarts on the Databricks platform.
Requires excellent analytical ability, problem-solving, and consulting, communication, and change management skills
Knowledge of agile engineering practices, development methodologies (Scrum, Kanban) and tools (Jira, Confluence)
Understanding of DevOps practices, with hands-on experience in Automation/Continuous Integration using tools like Jenkins, GitLab, GitHub or equivalent.
Information for applicants with a need for accommodation: