SAP Data Services Developer

CACI•Scott AFB, IL

1d•Onsite

About The Position

Join CACI’s high‑impact team supporting a mission‑critical SAP S/4HANA transportation and logistics solution for the Department of Defense. As part of the Joint Transportation Management System (JTMS), you will contribute directly to modernizing and strengthening how the DoD moves people, assets, and materiel worldwide. You will work alongside experts in Planning, Procurement, Fulfillment, Financials, Application Development, Security, GRC, and Identity & Access Management, delivering solutions that empower USTRANSCOM’s global mission. This is your chance to bring innovation, precision, and passion to one of the most consequential SAP environments in the federal landscape.

Requirements

Active DoD Secret Clearance (minimum requirement).
3–5+ years of experience in Data Integration/Warehousing, including 3+ years dedicated to SAP Data Services development.
Strong understanding of SAP table structures, data models, extractors, and end‑to‑end business processes.
Expertise in advanced BODS transformations, high‑performance ETL patterns, parallel processing, and optimization techniques.
Proven experience integrating SAP BW/4HANA, SAP HANA, SAP MDG, and SAP Information Steward.
SQL scripting, Shell scripting (Unix/Linux), and familiarity with ABAP for automation.
Ability to work independently and collaboratively within a cross‑functional team.

Nice To Haves

Prior experience supporting USTRANSCOM (USTC) programs or transportation operations.
Demonstrated alignment with DoD transportation doctrine, including DTR and DoD FMR requirements.
Experience applying Clean Core principles within SAP S/4HANA environments.

Responsibilities

Design, configure, and optimize SAP Data Services (BODS) ETL/ELT workflows, dataflows, and mappings across SAP ECC, SAP S/4HANA, SAP BW, and non‑SAP systems.
Translate complex business requirements into accurate source‑to‑target mappings with robust transformation logic.
Develop extraction routines using SAP HANA tables, extractors, RFCs, and diverse external sources including APIs, web services, flat files, and cloud platforms.
Build powerful data cleansing, standardization, validation, and business rule processing routines to ensure data quality excellence.
Implement data profiling and assessment routines to uncover patterns, gaps, anomalies, and quality issues.
Monitor, debug, and troubleshoot job executions to resolve performance challenges and eliminate bottlenecks.