Senior Data Engineer

Senior Data Engineer

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 will work as part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance, engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program. The successful candidate is responsible for designing, building, testing, and maintaining scalable data engineering components and platform services that power the CMM Program.

The Senior Data Engineer partners closely with the Data Architecture, Data Governance, and Migration teams to ensure engineering work is consistent, auditable, and aligned with CMM's cloud-based CI/CD standards. The Senior Data Engineer will execute the following responsibilities:

• Data Platform & Architecture
• Data Engineering & Integration
• Data Migration & Archiving

Qualifications include:

• MA/MS degree with 5+ years or BS/BA degree with 7+ years of general experience in information systems and 5+ years of specialized experience.
• Experience in data engineering and design data architecture.
• 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 with AWS data and compute services.
• Experience with data 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, Python 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 data platforms or analytics programs.
• Hands-on experience with Data Platforms.
• 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 data engineers.

Communication & Organizational skills include:

• Excellent presentation and communication (oral and written) skills.
• Consultant mindset with the ability to work with high level customer stakeholders and build excellent customer relationships.
• 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.

Certifications (Preferred):

• Certified Data Management Professional (CDMP)
• Snowflake SnowPro Core
• Databricks Certified Data Professional
• AWS Certified Data Analytics - Specialty
• AWS Certified Solutions Architect - Professional
• AWS Certified Data Engineer

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: None Telecommuting Options: Remote Work Location: Any Location / Remote