Type of Requisition:

Pipeline

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

BI Full 6C (T4)

Job Family:

Data Science and Data Engineering:

Job Qualifications:

Skills:

AWS Big Data, Data Analytics, ETL Tools

Certifications:

None

Experience:

7 + years of related experience

US Citizenship Required:

No

Job Description:

Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.

GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Senior Data Engineer/ Developer will work as part of the CMM Enterprise Data Warehouse (EDW) team to deploy a secured cloud-native EDW platform and support the statutory and operational reporting, data cataloging, and other analytical objectives.

The Senior Data Engineer/ Developer is responsible for designing, building, testing, and maintaining scalable data engineering components and platform services that power the EDW. This role delivers high-quality, secure, and performant data pipelines, transformations, and integrations aligned with federal standards and EDW SOW objectives for modernization, analytics, and operational excellence.

RESPONSIBILITIES:

• Develop a solution to integrate case management business data from the case management system into Snowflake EDW on a near real-time basis
• Produce and maintain dimensional data models that form the basis for the data marts to satisfy the requirements of the data products
• Develop and maintain downstream data marts and their corresponding ETL/ELT processes (on a near real-time basis or overnight batch depending on the individual uses case requirements) and their associated reports and dashboards
• Develop and maintain comprehensive documentation including the STTMs, data models (logical and physical), design documents, testing documents and other related documents
• Develop, deploy and maintain the data presentation and data reports for each of the data products using SAP Business Objects, Tableau, and/or other presentation tool(s) selected by the customer
• Design and develop data ingestion, ETL/ELT pipelines, and transformation logic for near–real-time and batch workloads
• Implement robust, reusable data services supporting analytics, reporting, and downstream data marts
• Collaborate with architects to implement logical and physical data models in Snowflake
• Develop and maintain high-quality, testable code using secure coding standards and best practices
• Integrate data pipelines with cloud services, messaging, and storage components
• Implement data quality checks, validations, and error-handling mechanisms.
• Optimize pipeline performance, scalability, and cost efficiency
• Support CI/CD-enabled deployments, including automated testing and promotion across environments
• Participate in code reviews, design reviews, and sprint ceremonies
• Support incident resolution and root cause analysis for data pipeline failures
• Produce and maintain technical documentation, runbooks, and workflows.
• Ensure deliverables meet federal security, governance, and audit requirements
• Operates within an Agile federal delivery environment across multiple scrum teams
• Collaborates closely with architects, DBAs, business analysts, and QA personnel
• Accountable for code quality, performance, and delivery timelines
• Expected to maintain audit-ready documentation and technical artifacts

​

REQUIRED EXPERIENCE & QUALIFICATIONS:

• Bachelor's degree in Computer Science, Computer Programming, Computer Engineering or relevant computer-based major, strongly preferred
• 8 years of IT related experience with 7+ years’ experience specifically in developing IT and cloud infrastructures
• Experience in software engineering and design architectures
• Experience and understanding of best practices regarding system security measures
• Experience with building and migration software and IT services to align to strategic business needs and goals
• Experience in conducting research for advanced technologies to determining how IT can support business needs leveraging software, hardware, or infrastructure
• Experience with AWS data and compute services
• Experience with Airflow or equivalent orchestration tools
• Knowledge of cloud messaging and storage services
• Proven track record in software and data engineering roles
• Hands-on experience building enterprise-scale data pipelines
• Strong proficiency with SQL and data transformation techniques
• Experience developing in cloud-based data platforms
• Familiarity with Agile/Scrum delivery environments
• Experience working in regulated or compliance-driven environments
• Experience supporting federal EDW or analytics programs
• Hands-on experience with Snowflake
• Proficiency with ETL/ELT frameworks
• Experience with streaming or near–real-time data ingestion
• Familiarity with data governance, metadata, and classification standards
• Experience mentoring junior developers

CERTIFICATIONS (Preferred):

• Snowflake Snow Pro Core
• AWS Certified Data Analytics – Specialty
• Relevant programming or data engineering certifications

COMMUNICATION & ORGANIZATIONAL:

• Excellent presentation and communication (oral and written) skills
• Consultant mindset with the ability to work with high level customer stakeholders and build excellent customer relationship
• Experience identifying and applying industry tools, solutions, methods best practices, and emerging technologies
• Strong analytical skills and problem-solving skills with the ability to formulate and communicate recommendations for improvement
• Demonstrated ability to work effectively, independently, and as part of a team

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 $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.

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans