SAP Data Migration Engineer

Responsibilities for this Position Location: Any Location / Remote Full Part/Time: Full time Job Req: RQ213637 Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: NACI (T1) Job Family: IT Infrastructure and Operations Job Qualifications: Skills: Data Conversions, Data Extraction, Data Mapping, SAP Data Migration, SAP HANA Certifications: None Experience: 8 + years of related experience US Citizenship Required: Yes Job Description: GDIT has an opportunity for an SAP Data Migration Engineer to support the SAP S/4HANA transformation programs through direct execution of data migration activities. The position focuses on building, loading, validating, and correcting data using SAP Data Services and the S/4HANA Migration Cockpit within an established migration framework. The position supports the NASA Consolidated Applications and Platform Services Program (NCAPS). This is a remote position. Responsibilities: Execute data extractions from SAP ECC using SAP Data Services (BODS). Query and analyze source and staging data using SAP HANA SQL. Build, maintain, and optimize dataflows, workflows, and extraction jobs. Perform source data analysis and data profiling to identify data quality issues. Perform source to target field-level data mappings. Apply transformation rules, derivations, and validations within SAP Data Services. Translate functional mapping specifications into executable ETL logic. Load master and transactional data into SAP S/4HANA using Migration Cockpit and LSMW. Execute mock loads and support cutover load activities. Analyze load errors, correct data issues, and reprocess loads as required. Validate data across source systems, staging, and S/4HANA targets. Reconcile record counts, balances, and key attributes based on defined validation criteria. Support defect resolution and retesting during mock cycles. Identify data quality issues such as duplicates, missing values, and invalid formats. Support cleansing activities in coordination with business data owners. Implement data correction logic within SAP Data Services where applicable. Support mock load cycles, dress rehearsals, and production cutover execution. Execute data loads according to defined load waves, object sequencing, and cutover schedules. Perform root-cause analysis of load and validation errors across BODS, Migration Cockpit, and HANA layers. Maintain and update mapping specifications and transformation logic documentation. Track, analyze, and remediate data defects using defined defect management processes. Validate data readiness prior to load execution (completeness, format, dependencies). Work with functional teams to resolve data issues tied to configuration or business rules. Qualifications: Bachelor's degree in computer science, information technology, or a related discipline. 8+ years of hands‑on SAP data migration experience. Strong experience with SAP Data Services (BODS). Working experience with SAP HANA backend. Practical experience using S/4HANA Migration Cockpit, LSMW & BDC. Demonstrated experience with data extraction, mapping, transformation, and validation. Working knowledge of SAP master data objects (Customer, Vendor, Material, GL). Experience handling large datasets and flat‑file‑based loads. Deep knowledge of SAP Table structures. Desired Capabilities: Execute assigned migration tasks within defined standards and templates. Collaborates with functional and technical team members to resolve data issues. Delivers assigned objects through mock cycles and cutover phases. Communicates data issues clearly and factually. GDIT IS YOUR PLACE: 401K with company match. Comprehensive health and wellness packages. Internal mobility team dedicated to helping you build your skills and own your career. Professional growth opportunities include paid education and certifications. Cutting‑edge technology you can learn from. Rest and recharge with paid vacation and 10 company‑paid holidays. The likely salary range for this position is $97,968 - $127,755. 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. 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 PI282008325 GDIT supports and secures some of the most complex government, defense, and intelligence projects across the country. #J-18808-Ljbffr