Cloud Data Engineer

Role Overview

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

What You Will Do

Architecting, analyzing, and supporting modern cloud environments, with a primary focus on Google Cloud Platform (GCP) while also working with AWS and Azure technologies. Utilizing Google Cloud-native tools alongside AWS and Azure services to analyze environments and provide actionable recommendations for cost savings and optimization strategies.

Why It Might Be a Fit

Bring your expertise and drive for innovation to GDIT. The Data Engineer Senior must have 4+ years of experience as a Cloud Analyst/Engineer, with a focus on AWS and/or Azure cloud services. 1-2 years of experience working with Google Cloud Platform (GCP), including exposure to its core services and tools.

Requirements

• Bachelor's degree in computer science, Information Technology, or a related field
• 4+ years of experience as a Cloud Analyst/Engineer, with a focus on AWS and/or Azure cloud services
• 1-2 years of experience working with Google Cloud Platform (GCP), including exposure to its core services and tools
• Current DoW 8570 IAT Level II certification (e.g., Security+)
• At least one current cloud certification (e.g., AWS, Azure, or Google Cloud)
• ITIL v4 Foundations certification within 90 days of employment if not already certified

Benefits

• Comprehensive benefits and wellness packages
• 401K with company match
• Competitive pay and paid time off
• Full flex work weeks
• Paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
• Short and long-term disability benefits
• Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance