Cloud Data Engineer

Das ist der Job

As a Cloud Data Engineer at GDIT, you’ll power innovation to drive mission impact and grow your expertise.

Darum lohnt es sich

Responsibilities: Architecting, analyzing, and supporting modern cloud environments, with a primary focus on Google Cloud Platform (GCP) while also working with AWS and Azure technologies.

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.

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).

GDIT Is Your Place 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.

Total compensation for international positions varies by tax, social security, and immigration statuses, as well as location. Generally, an international assignment may include allowances, premium uplifts, and/or relocation or transportation benefits, above base salary range noted.

Scheduled Weekly Hours 40 Travel Required Less than 10% Telecommuting Options Onsite Work Location DEU Wiesbaden - Wiesbaden Army Airfield (APC180) Total Rewards at GDIT Our benefits package for all US‑based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post‑tax dollars up to the IRS annual limits and receive a company match.

To ensure our employees are able to protect their income, other offerings such as short and long‑term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.

Type of Requisition: Regular Clearance Level Must Currently Possess: Secret Clearance Level Must Be Able to Obtain: Secret Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Cloud Based Services, Cloud Infrastructure, Data Architecture Development Certifications: None Experience: 4 + years of related experience US Citizenship Required: Yes Job Description: Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges.

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. 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.

Utilizing Google Cloud-native tools alongside AWS and Azure services to analyze environments and provide actionable recommendations for cost savings and optimization strategies.

Configuring and managing Google Cloud tools (e.g., BigQuery, Cloud Functions, Dataflow) as well as AWS tools to scan, catalog, and secure large-scale data inventories, delivering critical insights to customers.

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.

What You’ll Need to Succeed Education: Bachelor’s degree in computer science, Information Technology, or a related field.

Experience: 1-2 years of experience working with Google Cloud Platform (GCP), including familiarity with its core services and tools; 3-4 years of hands‑on experience in a cloud engineering role, with AWS and/or Azure cloud platforms.

Technical skills: 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.

Proficiency in deploying and managing Kubernetes and/or ECS, including container orchestration across multi‑cloud environments. Experience with Amazon S3, Athena, Glue ETL, Redshift, and QuickSight, as well as data warehousing and enterprise data architecture.

Familiarity with Google Cloud tools such as BigQuery, Cloud Functions, or Dataflow is a plus. DevSecOps experience, including building and maintaining CI/CD pipelines across cloud platforms. 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). 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, 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. 1-2 years of experience 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. Familiarity and exposure with Google Cloud tools such as BigQuery, Cloud Functions, or Dataflow is a plus. Experience with Apache PySpark, Python, Scala, Terraform, and containerization technologies such as Kubernetes or Docker.

Certifications: Current DoW 8570 IAT Level II certification (e.g., Security+). At least one current cloud certification (e.g., AWS, Azure, or Google Cloud). Must obtain ITIL v4 Foundations certification within 90 days of employment if not already certified. The likely salary range for this position is $107,744 - $143,750.

This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.

We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans #J-18808-Ljbffr