Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: BI Full 6C (T4) Job Family: Software Engineering Job Qualifications: Skills: AWS Cloud Computing, ETL, Snowflake (Platform)Certifications: NoneExperience: 5 + years of related experienceUS Citizenship Required: No Job Description: Job Description Own the opportunity as a Senior Cloud Data Engineer and help ensure the mission is never interrupted. At GDIT, we deliver clarity with our cloud solutions and provide meaningful work. Your work will be an important part of transforming our clients for the modern age and help them face any obstacle. At GDIT, people are our differentiator. As a Senior Cloud Data Engineer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Senior Cloud Data Engineer joining our dynamic team to work in a fast-paced environment with engineering, migration, and operations. We’re looking for a self-starter, to work both as part of the team and on individual assignments, in an environment of customer mission delivery, integrity, and communications. We’re looking to fill this role with someone who currently has the cloud experience, certifications, and skills to execute in large environments, is flexible and enjoys tackling challenges, and desires to join a large team that is building and sustaining a large, multi-tenant cloud platform/enterprise and migrating/expanding/automating the enterprise. If this sounds like you and you'd love to learn and grow with a team while delivering program milestones, then we’d love to hear from you! HOW A SENIOR CLOUD DATA ENGINEER WILL MAKE AN IMPACT: - Designs, architects, deploys and maintains cloud data solutions - Works hands-on with Snowflake implementing logical and physical data models - Maintains the integrity and security of systems - Maintains all documentation - Supports and develops automation - Has exposure to Bash, PowerShell, Python - Maintains/enhances knowledge of related AWS cloud services - Work across teams, and external customer groups to develop strategy, design solutions, and advise implementation teams during infrastructure buildouts - Deal with escalations. Make assessments, recommendations or provide solutions to resolve issues - Compose and maintain standard operating procedures and work instructions, knowledge articles, etc. WHAT YOU’LL NEED TO SUCCEED: Required Education: Technical Training, Certification(s) or Degree Required Experience: - Experience with Cloud Computing - AWS - 5+ years experience required Required Technical Skills: - Hands-on experience with Snowflake - Ability to implement logical and physical data models in Snowflake - Experience developing in cloud-based data platforms - Proficiency with ETL/ELT frameworks - Linux / Windows Server Required Skills and Abilities: Excellent communication skills with demonstrated experience delivering presentations to diverse audiences at various levels of an organization Preferred Skills and Experience: - 7+ years experience strongly preferred, with 3+ years of experience at the Senior level - Demonstrable experience leveraging AI/ML as a force multiplier and/or have implemented AI/ML solutions will be strongly preferred - Strong proficiency with SQL and data transformation techniques - Familiarity with Agile / Scrum delivery environments Preferred Certification: Snowflake SnowPro Core Security Clearance Level: None Location: Remote ​GDIT IS YOUR PLACE: - 401K with company match - Comprehensive health and wellness packages - Internal mobility team dedicated to helping you own your career - Professional growth opportunities including paid education and certifications - Cutting-edge technology you can learn from - Rest and recharge with paid vacation and holidays The likely salary range for this position is $128,039 - $173,229. 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. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote 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. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. 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 atgdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The AI Gigascale Construction Cost Manager Lead (OCI) provides end-to-end cost leadership for Oracle Cloud Infrastructure (OCI) gigascale construction programs, including hyperscale data center campuses and associated enabling infrastructure. This role blends rigorous cost management and project controls with scaled, time-to-market–focused delivery execution to improve forecast accuracy, accelerate executive decision-making, strengthen early risk detection, and deliver clear, auditable cost transparency across the full project lifecycle. - Build and lead a cost controls function and team - Establish standardized processes, systems, and reporting that scale across multiple sites and workstreams - Own the development and maintenance of estimates, budgets, forecasts, cash flow, contingency, and change control - Partner closely with Design & Construction, Procurement/Supply Chain, Finance, Scheduling/Project Controls, and Delivery leadership - Drive predictable outcomes and disciplined cost governance - Champion the responsible use of AI and advanced analytics within Oracle construction and engineering productivity suite - Create repeatable models, dashboards, and insights that improve performance (e.g., variance detection, cost risk indicators, productivity signals, invoice/bid anomalies) - Ensure outputs are explainable, traceable, and aligned with enterprise data governance and compliance expectations NOTE: Work from home/remote with no less than 50% travel. Benefits - Flexible medical, life insurance, and retirement options - Opportunities for community involvement through volunteer programs Company Description Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking an analytical, experienced, and solution-oriented Data Engineer III. The Data Engineer III is responsible for developing and optimizing the company’s data pipelines, integrations, and reporting solutions to ensure efficient and reliable data operations. This role requires independent problem-solving, proactive improvement of processes, and collaboration across teams to deliver impactful data solutions. - Design, build, and maintain scalable data pipelines and ETL workflows. - Write advanced SQL queries and implement optimization techniques for performance. - Leverage Microsoft Azure & Fabric, Spark, and Python to automate complex workflows. - Lead engineering efforts on machine learning and artificial intelligence projects. - Develop and maintain robust web APIs (SOAP, REST) to support seamless data integration across internal and external systems. - Collaborate with external vendors to ensure the integrity and functionality of integrations. - Monitor and troubleshoot data processes, ensuring high availability and minimal downtime. - Proactively identify and resolve bottlenecks or inefficiencies in data pipelines and integrations. - Manage and prioritize work using the ticketing system while maintaining regular communication in stand-ups and stakeholder meetings. - Conduct code reviews to ensure adherence to best practices and high-quality deliverables. - Contribute to technical documentation for processes, tools, and workflows. - Provide tier 3 support to end users of integrated systems such as reporting and accounting. - Partner with business owners to identify areas for improvement and gather requirements. - Mentor other team members by sharing knowledge, conducting training sessions, and providing guidance on best practices. - Take ownership of complex projects, ensuring timely delivery and alignment with business objectives. Qualifications - Bachelor’s degree in Computer Science, Information Systems /other relevant degree or equivalent professional experience. - Expert knowledge of relevant languages, such as SQL, dbt, Python, and/or C#. - Expert knowledge of at least one data pipeline orchestration tool, such as Azure Data Factory. - Expert understanding of data modeling and ETL concepts. - Experience with version control systems (e.g., Git) and best practices. - Strong problem-solving skills and the ability to work independently on complex tasks. Typical Behaviors & Working Style - Versatile and adaptable, flexing to meet the needs of the situation. - Maintains people-orientation, even if reserved in nature. Must be helpful and service-oriented, with a strong focus on repeatable, high-quality results. - Decision-making is collaborative, but meticulous, requiring consideration of facts, established procedures, and proven processes. - Communicates based on the task or technical needs at hand, defining clear team roles. - Leads according to specialty or expertise. Will act with conviction to ensure quality standards, rarely delegating. Preferred Working Environment & Job Characteristics - A complex, senior-level data engineering environment with high expectations for independence and ownership. - A high-standards, reliability-focused setting where availability, performance, and data integrity are critical. - A fast-paced, multi-priority workload balancing delivery, operational support, and cross-team collaboration. What success in this role looks like - Data pipelines and integrations operate reliably at scale, supporting business-critical systems and analytics. - Operational issues are resolved proactively, with minimal downtime and continuous improvement. - The data engineering function grows stronger over time, through high-quality delivery, documentation, and ownership of complex initiatives. Working Conditions This is a work from home position. All technology required will be provided. Training - Orientation via some live remote and some pre-recorded video sessions. - IT security training. - Internal development process and procedures. - Company-approved AI technology. Salary $120,000 - $150,000 actual compensation within this range will be determined by multiple factors including candidate experience and expertise.

• Serve as the team lead for both onshore and offshore teams • Work closely with business analysts, data analysts, legacy system SMEs, ETL developers, Guidewire configuration and Integration developers, and QA testers • Translate data migration business requirements into technical solutions • Define project scope, user stories, acceptance criteria and estimates • Analyze complex data structures in legacy source systems • Install, configure, test, and run Guidewire migration tools • Manage the end-to-end data loading process • Optimize migration processes for performance • Identify, investigate, and resolve data quality issues • Enable offshore teams to be successful • Coordinate with the PMO to provide technical leadership • Participate in the creation of new tooling