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. Army Europe and AFRICOM, focusing on cloud environments and data engineering solutions.
How a Cloud Data Engineer will make an impact: As a Cloud Data Engineer, you will play a key role in implementing and optimizing Google Cloud Platform (GCP)environments for our customers, while also contributing to projects involving AWS and Azure. Architecting, analyzing, and supporting modern cloud environments, with a primary focus on Google Cloud Platform (GCP) while also working with AWS and Azure technologies.
BigQuery, Cloud Functions, Dataflow) as well as 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 across Google Cloud, AWS, and Azure platforms.
Developing BI reports, dashboards, and predictive analytics using tools such as Power BI, Tableau, Google Looker, AWS QuickSight, MicroStrategy, and others.
Generating and delivering data inventory reports to customers as part of project deliverables, leveraging multi-cloud capabilities.
The Data Engineer Senior must have:
~ Bachelor’s degree in computer science, Information Technology, or a related field.
3-4 years of hands-on experience in a cloud engineering role, with AWS and/or Azure cloud platforms.
Proven experience with Infrastructure as Code (IaC) tools, specifically Terraform, for provisioning and managing cloud infrastructure across AWS, Azure, and Google Cloud Platform (GCP). 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, and working knowledge of Google Cloud Platform (GCP). Experience with Amazon S3, Athena, Glue ETL, Redshift, and QuickSight, as well as data warehousing and enterprise data architecture. Proficiency in scripting languages such as Python, Bash, and/or PowerShell for automation and cloud operations. Strong Linux administration skills and advanced SQL scripting capabilities for database management and optimization. Familiarity with BI tools such as Power BI, Tableau, and SQL Server Reporting Services (SSRS). 4+ years of experience as a Cloud Analyst/Engineer, with a focus on AWS and/or Azure cloud services. 1-2 years of experience in data warehousing, data architecture, and SQL relational databases. Experience with Apache PySpark, Python, Scala, Terraform, and containerization technologies such as Kubernetes or Docker.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
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.