Cloud Data Engineer

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Cloud Data Engineer at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.

MEANINGFUL WORK AND PERSONAL IMPACT
GDIT is seeking a skilled Cloud Data Engineer with expertise in AWS, Azure, and Google Cloud to provide engineering support for our Enterprise Mission Information Technology Services (EMITS) program. This role supports critical missions for U.S. Army Europe and AFRICOM, focusing on cloud environments and data engineering solutions.

As a Cloud Data Engineer, you will play a key role in implementing and optimizing cloud environments for our customers. Your responsibilities will include:

• Architecting, analyzing, and supporting modern cloud environments using AWS and Azure technologies.

• Utilizing cloud-native tools to analyze environments and provide actionable recommendations for cost savings and optimization strategies.

• Configuring and managing AWS tools to scan, catalog, and secure large-scale data inventories, delivering critical insights to customers.

• Performing analysis and supporting the migration of modern databases, data processing services, data architecture, and data storage solutions.

• Developing BI reports, dashboards, and predictive analytics using tools such as Power BI, Tableau, AWS QuickSight, MicroStrategy, and others.

• Generating and delivering data inventory reports to customers as part of project deliverables.

WHAT YOU’LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. The Data Engineer Senior must have:

• Education: Bachelor’s degree in computer science, Information Technology, or a related field.

• Experience: 3-4 years of hands-on experience in a cloud engineering role.

• Technical skills: Proven experience with Infrastructure as Code (IaC) tools, specifically Terraform for provisioning and managing cloud infrastructure; Hands-on expertise with Ansible for configuration management and automation of IT environments; Extensive knowledge of modern cloud design and engineering principles, with deep expertise in AWS and Azure ecosystems; Proficiency in deploying and managing Kubernetes and/or ECS; Experience with Amazon S3, Athena, Glue ETL, Redshift, and QuickSight, as well as data warehousing and enterprise data architecture; DevSecOps experience, including building and maintaining CI/CD pipelines; Proficiency in Python, Bash, and/or PowerShell scripting; Strong Linux administration skills and advanced SQL scripting capabilities; Familiarity with BI tools such as Power BI, Tableau, and SQL Server Reporting Services (SSRS); Superior knowledge of Agile methodologies and iterative development principles in a fast-paced, service-oriented environment.

• Security clearance level: Must be a U.S. Citizen with an active Secret security clearance.

• US citizenship required

• Role requirements: 4+ years of experience as a Cloud Analyst/Engineer; Expertise in data warehousing, data architecture, and SQL relational databases; Proficiency with AWS and Azure cloud services, including Amazon S3, AWS CLI, Athena, Glue ETL, Redshift, and QuickSight; Experience with Apache PySpark, Python, Scala, Terraform, and containerization technologies.

• Certifications: Current DoD 8570 IAT Level II certification (e.g., Security+); At least one current cloud certification (e.g., AWS, Azure, or Google Cloud).

GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities

• Support: An internal mobility team focused on helping you achieve your career goals

• Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off

• Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.