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/4

HANA 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/4

HANA 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/4
  
  HANA 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/4
  
  HANA 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/4
  
  HANA 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…