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Sap Data Engineer Jobs (NOW HIRING)

SAP Data Services Senior Analyst

Plano, TX · On-site

$80K - $134K/yr

Accountable for Quality Assurance of code/technical design reviews for junior developers * Provide ... SAP Data Services (BODS) interfacing with SAP and non-SAP systems. * Proficient at application ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Integrate SAP data sources including SAP HANA and S/4HANA * Optimize data performance of Google Vertex AI engineering and ML pipelines * Partner with business and analytics teams to translate ...

... engineering, data modeling, and cloud-native development. What you bring * Bachelor's or Master ... Knowledge of SAP BTP services, including SAP AI Core, SAP AI Business Services, SAP Integration ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Integrate SAP data sources including SAP HANA and S/4HANA * Optimize data performance of Google Vertex AI engineering and ML pipelines * Partner with business and analytics teams to translate ...

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring ... What you'll do As a Data Engineer in Bellevue, you will join a new team dedicated to building and ...

Accountable for Quality Assurance of code/technical design reviews for junior developers * Provide ... SAP Data Services (BODS) interfacing with SAP and non-SAP systems. * Proficient at application ...

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 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

See salary details

$44.5K

$129.7K

$177.5K

How much do sap data engineer jobs pay per year?

As of Jul 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 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.

More about Sap Data Engineer jobs
What cities are hiring for Sap Data Engineer jobs? Cities with the most Sap Data Engineer job openings:
What states have the most Sap Data Engineer jobs? States with the most job openings for Sap Data Engineer jobs include:
What job categories do people searching Sap Data Engineer jobs look for? The top searched job categories for Sap Data Engineer jobs are:
Infographic showing various Sap Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer/BI /SAP

$124K - $149K/yr

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Responsibilities

Data engineering

  • Build and maintain pipelines from SaaS tools, operational databases, APIs, and flat files into BigQuery/Snowflake.
  • Design curated datasets and semantic-ready tables/views; improve query performance (partitioning/clustering, pruning, aggregation strategies).
  • Set up data observability: load monitoring, failure alerts, and incident/runbook documentation.
  • Troubleshoot pipeline failures and data discrepancies; conduct root-cause analysis and remediation.

Analytics

  • Gather requirements, define metrics/KPIs, and translate business needs into trusted reporting.
  • Build and optimize dashboards in Looker/Tableau/Qlik Sense with strong usability, performance, and governance.
  • Enable self-service: certified datasets, standardized dimensions/measures, consistent metric definitions.
  • Provide ad-hoc analysis and recommendations; communicate insights clearly to stakeholders. 

Required qualifications

  • Strong SQL and hands-on experience with BigQuery and/or Snowflake.
  • Experience with at least one BI tool: Looker, Tableau, or Qlik Sense (multi-tool experience preferred).
  • Experience working with SAP data.
  • Solid data modeling fundamentals (dimensional modeling, metric grain, conformed dimensions).
  • Experience with pipeline/orchestration concepts (scheduling, retries, idempotency, incremental loading).
  • Strong stakeholder management skills; can drive clarity and deliver iteratively.