#20499 - SAP Data Engineer

Qualitest; Atlanta (GA); Remote; USD 110,000 - 120,000; Full time

Benefits offered by this job

401k plan with company match

Competitive healthcare benefits

Corporate Wellness Program

Job summary

A leading tech company is seeking a SAP Data Engineer to design and maintain data pipelines integrating SAP systems. Candidates should have 5-8 years of experience in data engineering and proficiency with SAP tools like BODS and SLT. The role offers a remote work arrangement with competitive compensation ranging from $110,000 to $120,000 annually. Join a diverse team dedicated to innovation and growth in a supportive environment.

Qualifications

• 5–8 years of experience in SAP Data Engineering, ETL Development, or Analytics Enablement.
• Experience developing data models and architectures to support analytics and AI/ML initiatives.
• Exposure to AI/ML data pipelines is a plus.

Responsibilities

• Design and maintain end-to-end data pipelines integrating SAP with cloud platforms.
• Develop and optimize ETL/ELT workflows using SAP tools.
• Implement data governance and compliance standards.

Skills

SAP Data Integration Expertise

Hands-on experience with SAP data tools

ETL & Data Modeling

SQL proficiency

Analytical thinking

Education

Bachelor’s degree in Computer Science or related field

Tools

SAP BODS

SAP SLT

SAP SDI

Power BI

Python

Spark

Job description

#20499 - SAP Data Engineer

Qualitest is seeking a SAP Data Engineer to join our Data Center of Excellence (COE) within the Enterprise division. In this role, you will design, develop, and maintain scalable data pipelines and integration frameworks that connect SAP and non‑SAP ecosystems, enabling enterprise‑wide insights and automation.

Location: Remote – U.S. (CST Preferred)

Employment Type: Full‑time, Permanent

Core Focus Areas

• SAP Data Integration Expertise
• Hands‑on experience with SAP data tools: BODS, SLT, SDI, CPI‑DS
• Integration of SAP platforms (S/4HANA, BW/4HANA, Ariba) with enterprise and cloud systems
• ETL & Data Modeling
• Proven ability to design, optimize, and automate ETL/ELT workflows
• Experience developing data models and architectures to support analytics and AI/ML initiatives
• Cloud & Analytics Integration
• Practical experience with Azure, AWS, or GCP data services
• Familiarity with SAP Analytics Cloud (SAC), Power BI, or similar BI/reporting tools

Key Responsibilities

• Design, build, and maintain end‑to‑end data pipelines integrating SAP (S/4HANA, BW/4HANA, Ariba) with enterprise and cloud platforms.
• Develop and optimize ETL/ELT workflows using SAP BODS, SLT, SDI, CPI‑DS, and related integration tools.
• Partner with AI/ML teams to enable data‑driven automation, predictive analytics, and intelligent process optimization.
• Collaborate with business and analytics stakeholders to define efficient data models and semantic layers for reporting.
• Support SAP analytics initiatives using SAC, Power BI, and other visualization tools.
• Implement and enforce data governance, validation, and compliance standards (HIPAA, audit, security).
• Design and optimize data architectures for scalability, performance, and cloud readiness.
• Ensure end‑to‑end data lineage, integrity, and traceability across SAP and non‑SAP systems.
• Diagnose and resolve complex data integration and performance issues.
• Maintain technical documentation, reusable frameworks, and process standards for consistency and knowledge sharing.
• Stay current with emerging SAP, data engineering, and AI technologies to drive innovation and best practices.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent work experience).
• 5–8 years of experience in SAP Data Engineering, ETL Development, or Analytics Enablement.
• Strong expertise in SQL, data modeling, and integration of SAP HANA and BW/4HANA environments.
• Proven proficiency with SAP data integration tools (BODS, SLT, SDI, CPI‑DS).
• Experience with SAP Analytics Cloud (SAC), Power BI, or equivalent BI tools.
• Exposure to AI/ML data pipelines or collaboration with data science teams is a plus.
• Working knowledge of Python, Spark, or cloud data platforms (Azure, AWS, GCP).
• Understanding of data governance, master data management (MDM), and data lifecycle management principles.
• Excellent analytical thinking, communication, and problem‑solving skills with a strong sense of ownership and collaboration.

Benefits

• Be part of a company that strives to support diversity and inclusion in the workplace – we celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences. We have more than 40% women and around 120 different nationalities.
• Local and global opportunities – we offer internal rotation and international mobility opportunities to grow your career.
• Clear view of your career and progression with the company – Qualitest is growing massively (since 2021 – tripled our employee base – we now have more than 8,000 engineers) and giving you the opportunity to grow with us.
• Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, enjoy the amenities and games provided from one of our employee centers.
• Save your earnings and prepare for your future by enrolling in our 401k plan where Qualitest will match your contributions accelerating your savings plan.
• Take care of health with enrollment into one of our competitive healthcare benefits. Qualitest will match towards your HSA if you choose to participate.
• Never stop experimenting and learning with QCraft – our Learning & Development platform: 50,000+ courses, 300+ virtual labs, mentorship and leadership programs, professional tribes, sponsored certifications, and much more.
• Stay active and get rewarded with our Corporate Wellness Program. We pay your gym membership and give you opportunities to earn additional vacation times for attending the gym!
• Earn bonuses via our client referral and employee referral program’s. Refer and earn – tap your network for net‑worth.
• We recognize our employees' work via our Qudos platform – you can earn bonuses and spot awards by celebrating your and your peers’ achievements.
• Planning a vacation? Looking for car insurance? Get access to Qualitest Employee Perks for discounts on anything from travel to electronics. With so many offerings the savings are endless!
• A competitive pay, the salary range for the role is $110,000 - $120,000.
• Intrigued to find more about us? Visit our website at https://www.qualitestgroup.com/
• If you like what you have read, send us your resume and let’s start talking!

Seniority Level

Entry level

Employment Type

Full‑time

Job function

Information Technology

Industries

IT Services and IT Consulting