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Sap Data Engineer Jobs (NOW HIRING)

Accenture Federal Services

SAP Data Scientist

Responsibilities : • Collect, organize, and wrangle data from SAP and non‑SAP sources; build ... and feature engineering for large ERP datasets • Solid statistical and machine-learning ...

Curtiss-Wright Corporation

$125K - $167K/yr

SAP Data Migration Lead will report directly to Director IT Business System - SAP and will be ... We have continued on the path of innovation and advanced engineering, and have applied that ...

1 point system

SAP Data Architect

New York, NY · Remote

SAP experience * Consulting experience within complex global programs * Life Sciences industry ... Quick delivery for developers * Understanding of current data architecture trends (AI included)

Curtiss-Wright

SAP Data Migration Lead

Ashburn, VA · On-site +1

$125K - $167K/yr

SAP Data Migration Lead will report directly to Director IT Business System - SAP and will be ... We have continued on the path of innovation and advanced engineering, and have applied that ...

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How much do sap data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for sap data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a SAP Data Engineer do?

An SAP Data Engineer is responsible for designing, developing, and managing data solutions within SAP systems. They work with databases, ETL processes, and data modeling to ensure efficient data integration and performance. Their role includes handling large datasets, optimizing data pipelines, and supporting business intelligence initiatives. They collaborate with cross-functional teams to ensure data accuracy, security, and availability for business decision-making.

What are some typical daily tasks for a SAP Data Engineer?

As a Sap Data Engineer, your daily tasks often include designing and developing data pipelines, managing data integration between SAP and non-SAP systems, and ensuring data quality and performance within SAP environments. You'll work closely with data architects, business analysts, and other IT professionals to interpret business requirements and translate them into technical solutions. Routine responsibilities may also involve monitoring and optimizing data flows, troubleshooting issues, and supporting system upgrades or migrations. Your work is critical to maintaining the reliability and efficiency of an organization’s data infrastructure.

What are the key skills and qualifications needed to thrive in the SAP Data Engineer position, and why are they important?

To excel as a Sap Data Engineer, you need strong expertise in SAP data models, integration techniques, and data processing, typically supported by a degree in computer science or a related field. Familiarity with SAP HANA, SAP BW, ETL tools, and certifications such as SAP Certified Application Associate are highly valued. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills in this role. These abilities enable efficient management and transformation of enterprise data, ensuring business operations run smoothly and insights are actionable.

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Sap Data Engineer jobs near you
Infographic showing various Sap Data Engineer job openings in the United States as of September 2026, with employment types broken down into 51% Full Time, and 49% Contract. Highlights an 83% In-person, 7% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

SAP Data Scientist

Remote

Accenture Federal Services
IT Services • 10K+ employees
Learn more about Accenture Federal Servicesexternal

Full-time

Re-posted 9 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Accenture Federal Services is dedicated to supporting the US federal government by leveraging technology and ingenuity. The Data Scientist role focuses on analyzing complex datasets to drive business decisions, delivering insights across SAP and non-SAP environments, and collaborating with cross-functional teams to implement data-driven solutions.
Responsibilities:
• Collect, organize, and wrangle data from SAP and non‑SAP sources; build reusable analytics and data pipelines
• Clean, validate, and preprocess structured and unstructured datasets to ensure high‑quality inputs for analysis
• Conduct statistical and exploratory analyses to identify trends, patterns, and business insights
• Develop predictive and prescriptive models using SAP Analytics Cloud Predictive or external ML frameworks integrated with SAP data
• Enhance data collection procedures to support analytic system development
• Create dashboards, KPIs, and data visualizations to clearly communicate findings to business stakeholders
• Support data reconciliation and KPI validation between source systems and analytics outputs
• Collaborate with IT, business analysts, and leadership to implement data‑driven solutions
• Design and deliver AI/ML‑based decision‑making frameworks; measure and justify model value
Qualifications:
Required:
• 5+ years of experience in data science, advanced analytics, or applied data modeling (ideally with SAP data)
• Proficiency in Python or R, SQL, and data manipulation libraries
• Experience with SAP Analytics Cloud Predictive, SAP BTP AI Core, or integrating SAP data with external ML platforms
• Strong understanding of data preparation and feature engineering for large ERP datasets
• Solid statistical and machine-learning background with the ability to explain models to non-technical audiences
• Strong analytical, problem-solving, and communication skills
• U.S. Citizenship (no duals)
• Ability to obtain a client Public Trust government clearance
Preferred:
• SAP BW/4HANA experience
• Familiarity with SAP HANA modeling, BW queries, or SAP BTP services
• Experience with cloud-based ML platforms (AWS Sagemaker, Azure ML, etc.)
• Background in data governance, data quality frameworks, or production model deployment
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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