Senior Data Engineer

Type of Requisition:
PipelineClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
NoneJob Family:
Data Science and Data EngineeringJob Qualifications:
Skills:
Data Analysis, Data Analytics, Data Lake, Data Warehousing (DW), ETL DesignCertifications:
NoneExperience:
7 + years of related experienceUS Citizenship Required:
NoJob Description:
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. This role delivers high-quality, secure, and performant data pipelines, transformations, ETL/ELT delivery, data management solutions, and system integrations aligned with federal standards and CMM objectives for modernization, analytics, and operational excellence. 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

Develop and implement a scalable, secure, cloud-based data platform supporting operational data, reporting, and analytics delivering cloud-based architecture (data lake, lakehouse, or data warehouse).

Ensure alignment with federal security requirements, judiciary architecture standards, data governance policies, and application modernization initiatives

Engineer multi-tenant, cloud-based environments supporting hybrid/on‑premises systems, enabling SQL, NoSQL, IaaS, PaaS, distributed SQL, multi-modal, and event-driven/streaming databases.

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 / or consumable data 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 visualization or presentation tool(s) selected by the customer

Support development of the Data and Technology Enabler Roadmap across data engineering, reporting/analytics, and AI/ML use cases

Data Engineering & Integration
Design and develop data ingestion, ETL/ELT pipelines for integrating data from multiple enterprise sources, and transformation logic for near-real-time and batch workloads

Implement robust, reusable data services supporting analytics, reporting, and downstream data marts and / or gold layers

Collaborate with architects to implement logical and physical data models in cloud-based platforms (e.g., Snowflake, Databricks, or AWS Redshift)

Develop and maintain high-quality, testable code using secure coding standards and best practices

Support the operationalization CMM Data Classification Standards, including workshops, security controls, metadata requirements, and integration into system design, procurement, and training

Configure metadata structures, workflows, automation, and security settings; develop ingestion processes and attribute definitions for catalog entries

Create training, job aids, and communications to support user adoption

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

Data Migration & Archiving

Partners closely with the Data Architecture, Data Governance, and Migration teams to execute the data migration, archival, and disaster recovery (DR) strategy

Deliver migration documentation for scripts, transformations, and validation results

Support the Failover Testing and DR drills engineering activities

Implement operational databases supporting data migration, archival, DR, document storage, indexing services, schemas, and secure data APIs using IaC for provisioning and configuration

This role will require you to obtain and maintain a Public Trust and will require you to provide onsite fingerprinting at a designated facility. This investigation may review personal and criminal behavior, financial conduct, foreign influence, as well as other adjudications.
QUALIFICATIONS

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 in conducting research for advanced technologies to determine how IT can support business needs by leveraging software, hardware, or infrastructure

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

US Citizen or US Person (Lawful resident, refugee, or asylee) required for this role per contract

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 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

Associate or Professional level certifications in one or more cloud platforms

The likely salary range for this position is $140,821 - $190,523. 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:
40Travel Required:
NoneTelecommuting Options:
RemoteWork Location:
Any Location / RemoteAdditional 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.
Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.About Our Work:
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 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 mission-ready capabilities in AI, cloud, cyber and software development.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 VeteransOriginally posted on Himalayas