Cloud Data Engineer
About The Position
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. 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. You will leverage your knowledge in Google Cloud tools and services to design scalable, secure, and cost-effective solutions, ensuring seamless integration across multi-cloud platforms. Your responsibilities will include: 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. 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. 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. 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: 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. 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). 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 DoD 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. 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. 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. 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) Additional Work Locations: 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 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. 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. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Join our 30,000 everyday heroes. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. For more information about GDIT's Privacy Policy, click here: https://www.gdit.com/privacy-policy/notices/
Requirements
- Bachelor’s degree in computer science, Information Technology, or a related field.
- 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.
- 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).
- 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.
- 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.
- Must be a U.S. Citizen with an active Secret security clearance.
- US citizenship required
- 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.
- Experience with Apache PySpark, Python, Scala, Terraform, and containerization technologies such as Kubernetes or Docker.
- Current DoD 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.
Nice To Haves
- Familiarity with Google Cloud tools such as BigQuery, Cloud Functions, or Dataflow is a plus.
- Familiarity and exposure with Google Cloud tools such as BigQuery, Cloud Functions, or Dataflow is a plus.
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.
- 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.
- 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.
Benefits
- Comprehensive benefits and wellness packages
- 401K with company match
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
