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Sap Data Engineer Jobs in Washington (NOW HIRING)

SAP

SAP NS2 Support Engineer (SAC)

Herndon, VA · On-site

SAP NS2 Support Engineer (SAC) SAP NS2 Secure Cloud Support organization is seeking an experienced ... Data imports and live data connections * User, role, and tenant administration * Performance ...

SAP

SAP NS2 Support Engineer (SAC)

Herndon, VA

SAP NS2 Support Engineer (SAC) SAP NS2 Secure Cloud Support organization is seeking an experienced ... Data imports and live data connections * User, role, and tenant administration * Performance ...

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Sap Data Engineer information

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$50.4K

$146.9K

$201K

How much do sap data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for sap data engineer in Washington is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

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 does an 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 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 Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.
SAP Data Quality Report Developer

SAP Data Quality Report Developer

Accenture Federal Services

Washington, DC

Other

Re-posted 12 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 449 rated business services

Job description

The work
The SAP Data Quality Report Developer will play a critical role in supporting data readiness for a large-scale SAP migration effort. This role is responsible for analyzing and designing new business processes and creating documentation that guides implementation of new technologies and data quality solutions. The developer will collaborate closely with business stakeholders to define product requirements, use cases, and process needs, ensuring that documentation and reporting solutions accurately represent operational requirements. Participation in user and task analysis will help shape functional designs that align with business needs.

Key responsibilities:
Analyze and design new business processes, producing documentation to support new system and technology implementations
Partner with business stakeholders to define product requirements, user stories, and use cases aligned with process and functional needs
Conduct user and task analysis to ensure business requirements are reflected in solution designs
Develop automated validation frameworks to strengthen data integrity, accuracy, and compliance across migration cycles
Collaborate with functional teams and data conversion leads to identify data anomalies and recommend improvements
Reconcile transformed data against legacy sources to ensure completeness and accuracy
Provide detailed insights and recommendations to support decisionmaking throughout the migration lifecycle

Here's what you need:
5+ years of experience working with SAP data structures and data validation processes
Ability to analyze business processes and translate them into documented workflows and requirements
Experience designing or supporting automated data validation or data quality frameworks
Strong analytical skills with the ability to reconcile large datasets and detect inconsistencies
Experience building reporting and dashboards using SAP or related analytics tools
Excellent collaboration and communication skills to work across business, functional, and technical teams

Nice to have:
Experience with SAP S/4HANA migrations
Familiarity with SAP data migration tools (e.g., SNP CrystalBridge, SAP migration cockpit)
Experience supporting test cycles and data reconciliation activities
Knowledge of Agile delivery practices
Experience working on large enterprise data transformation or consolidation programs

Eligibility requirements:
US Citizen (no dual citizenship)
Must possess or be able to obtain a Secret clearance

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