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Sap Data Engineer Jobs in Washington (NOW HIRING)

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 ...

SAP

SAP NS2 SAC Support Engineer

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 SAC Support Engineer

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 ...

Helios HR

SAP MDG Technical Developer

Washington, DC · Remote

$110K - $135K/yr

The SAP MDG Technical Developer is responsible for designing, developing, configuring, and ... Design, develop, and enhance SAP Master Data Governance (MDG) technical solutions supporting ...

Helios HR

SAP MDG Technical Developer

Washington, DC · On-site +1

$110K - $135K/yr

The SAP MDG Technical Developer is responsible for designing, developing, configuring, and ... Design, develop, and enhance SAP Master Data Governance (MDG) technical solutions supporting ...

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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 Aug 22, 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 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 Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

SAP Data Scientist

Accenture Federal Services

Washington, DC

Full-time

Re-posted 17 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

48th of 495 rated business services

Job description

The work

The Data Scientist is responsible for analyzing complex datasets to drive business decisions and deliver actionable insights across SAP and nonSAP environments. This role leverages statistical methods, data modeling, and visualization techniques to solve business challenges and support decisionmaking. The Data Scientist will gather, wrangle, and validate data; develop analytic pipelines; design predictive models; and communicate findings through dashboards, KPIs, and executiveready visualizations. The role collaborates closely with crossfunctional teams to implement datadriven solutions and deliver AI/MLbased frameworks that generate measurable business value.

Key responsibilities:

  • Collect, organize, and wrangle data from SAP and nonSAP sources; build reusable analytics and data pipelines
  • Clean, validate, and preprocess structured and unstructured datasets to ensure highquality 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 datadriven solutions
  • Design and deliver AI/MLbased decisionmaking frameworks; measure and justify model value

Here's what you need:

  • 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 machinelearning background with the ability to explain models to nontechnical audiences
  • Strong analytical, problemsolving, and communication skills

Nice to have:

  • SAP BW/4HANA experience
  • Familiarity with SAP HANA modeling, BW queries, or SAP BTP services
  • Experience with cloudbased ML platforms (AWS Sagemaker, Azure ML, etc.)
  • Background in data governance, data quality frameworks, or production model deployment

Eligibility requirements:

  • U.S. Citizenship (no duals)
  • Ability to obtain a client Public Trust government clearance

What Accenture Federal Services employees say

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Benefits

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