Remote SAP Data Integration Specialist

SMX

Lincoln (NE)

Remote

USD 116,000 - 193,000

Full time

9 days ago
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Benefits offered by this job

Health insurance
Paid leave
Retirement

Job summary

SMX is seeking a Data Integration Specialist to design, develop, and maintain data pipelines connecting client source financial systems to a new budgeting and forecasting platform. This 100% remote, full-time role requires strong ETL/ELT expertise and a Public Trust clearance.

You will work with SAP S/4HANA, SAP HANA, SAC, and BW components, ensuring data quality, transformation, and secure data flows for government-grade clients. Travel is minimal.

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Finance, or equivalent experience.
  • Proven experience with SAP Analytics Cloud (SAC), SAP HANA, SAP S/4 HANA, SAP BW/4HANA and SAP BW.
  • Data analytics, business intelligence, and reporting.
  • Client-side JavaScript to enhance SAC functionality.
  • Familiarity with SAC, BPC or BW-IP.
  • 5+ years of hands‑on experience in a data integration, CDS View development, ETL development, or data engineering role.
  • Proven proficiency in writing complex, optimized CDS, SQL and working with relational databases (e.g., SAP HANA, SQL Server, Oracle).
  • Demonstrable experience with loading data into models using SAC and S/4HANA Source System. Experience with (e.g., SAP Data Services, SAP BTP).
  • Skilled in Data analytics, business intelligence, and reporting capabilities.
  • Excellent analytical and problem‑solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to explain complex technical concepts to non‑technical stakeholders.
  • Must have the ability to obtain a Public Trust clearance which requires US Citizenship.

Responsibilities

  • Data Pipeline Development: Design, build, and maintain robust, scalable, and automated ETL/ELT pipelines to extract financial data from various source systems and load it into the target budget solution.
  • Source System Analysis: Collaborate with client stakeholders and functional consultants to analyze source data from systems like, SAP S/4HANA, and other government financial systems to understand data structures, relationships, and business rules.
  • Data Mapping & Transformation: Create and manage complex data mapping documents. Write and execute HANA CDS views and SQL queries and scripts to transform, cleanse, and validate data according to the requirements of the new budget solution.
  • Data Quality Assurance: Implement rigorous data quality checks, validation routines, and reconciliation processes to ensure the integrity, accuracy, and completeness of financial data.
  • Troubleshooting & Performance Tuning: Proactively monitor data integration jobs, troubleshoot failures, and optimize performance of data pipelines to meet processing windows and performance SLAs.
  • Collaboration: Work closely with project managers, solution architects, functional consultants, and client SMEs to ensure the integration design aligns with overall project goals and business requirements.
  • Documentation: Develop and maintain comprehensive technical documentation, including data flow diagrams, integration specifications, and standard operating procedures (SOPs).

Skills

SAP SAC
SAP HANA
SAP S4HANA
BW/4HANA
SAP BW
Data analytics
Business intelligence
Reporting
JavaScript
BW-IP
CDS Views
ETL development
Data engineering
Relational DBs
SAC data loading
SAP Data Services
SAP BTP

Education

Bachelor's degree
Equivalent experience

Tools

SAP HANA Studio
SQL
SAC integration

Job description

SMX is seeking a Data Integration Specialist to design, develop, and maintain data pipelines connecting client source financial systems to a new budgeting and forecasting platform. This 100% remote, full-time role requires strong ETL/ELT expertise and a Public Trust clearance.

You will work with SAP S/4HANA, SAP HANA, SAC, and BW components, ensuring data quality, transformation, and secure data flows for government-grade clients. Travel is minimal.

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