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General Dynamics Information Technology
USA DC Home Office (DCHOME)
Source: General Dynamics Information Technology careers · View original posting
From General Dynamics Information Technology's posting. “We” and “our” refer to the employer.
Pipeline
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Data Science and Data Engineering
Data Migration Design, ETL Design, ETL Development, ETL Processing Certifications:
5 + years of related experience US Citizenship Required:
No
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 Sr. Data Migration 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 will be responsible for planning, coordinating, and executing enterprise data migration, conversion, transformation, and archival activities in support of the CMM Data Modernization & Governance program. The role develops migration scripts and pipelines, performs data profiling and mapping, executes data migration and transformation activities, and validates migrated data to ensure that data is accurately and securely transitioned between source and target modern cloud data platforms.
The Sr. Data Migration Engineer will execute the following responsibilities:
Plan, coordinate, and oversee enterprise data migration, conversion, and archival efforts.
Develop migration strategies, schedules, dependencies, and execution procedures.
Build and maintain migration scripts, SQL, and ETL/ELT pipelines for legacy-to-cloud data transfers.
Execute extraction, transformation, loading, and post-load validation activities.
Perform data profiling, cleansing, mapping, and transformation; define source-to-target mappings.
Validate migrated data through reconciliation, completeness checks, and QA testing.
Manage cutover activities, including pre-checks, execution, validation, and sign-off.
Automate data reconciliation and validation processes.
Support migration testing, mock runs, rehearsals, cutovers, and rollback procedures.
Design and implement data archival processes aligned with retention and governance standards.
Troubleshoot and resolve migration issues and discrepancies.
Document migration procedures, mappings, and runbooks.
Work with governance, quality, and business teams to validate data against standards and rules.
Tune migration jobs to maximize throughput and minimize downtime.
Participate in planning, risk assessments, and rollback strategy development.
Maintain migration logs, issue registers, and execution reports.
Support archival and retention activities with Data Governance and Records Management.
Collaborate with DBAs, platform engineers, architects, app teams, and governance groups.
Optimize migration performance for large-scale, high-volume datasets.
Ensure compliance with security, privacy, classification, retention, and governance requirements.
Maintain migration runbooks and operational procedures.
Support production cutovers and post-migration stabilization.
Contribute to continuous improvement and automation of migration processes.
Manage and optimize cloud data platforms, including account setup, configuration, scaling, performance tuning, and warehouse / lakehouse operations.
Govern databases, schemas, roles, and RBAC to align with AO security, IAM, & compliance policies.
Monitor, troubleshoot pipelines, queries, concurrency, & resource utilization for uptime & cost efficiency.
Implement cost‑optimization strategies and support financial reporting, forecasting, and TCO analysis.
Automate and document provisioning, access management, data loading, and monitoring using Terraform, dbt, SQL, Python, or similar tools.
Partner with data engineers, BI teams, and architects to design efficient data models and optimize ELT workflows.
Support security audits, ATO artifacts, incident response, DR/HA testing, and operational runbooks for modern cloud data platform services.
The likely salary range for this position is $111,155 - $150,385. 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.
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Remote
Any Location / Remote
Compensation
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.
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.
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 at gdit.com/tc .
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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