Senior Data Engineer/ Developer

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

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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 SnowPro 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.