Sap Successfactors Engineer Jobs

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2d ago

Senior Azure Data Engineer (SAP SuccessFactors Focus)

Experis Charlotte, NC

Charlotte, NC

2d ago

$55 - $65/hr Contract Backend Developer Senior Analytics

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Job Description

Experis is hiring a Senior Azure Data Engineer to support a business-critical HR data integration effort, connecting SAP SuccessFactors with a modern Azure analytics environment. In this hybrid role based in Charlotte, you will design and optimize end-to-end ETL/ELT pipelines that move HR and organizational data into Azure Databricks for scalable processing and transformation.

This is a contract position offering USD 55 - 65 per hour, with an initial term running through March 2027 and potential for multi-year extensions.

Role Focus

Integrate HR and organizational datasets from SAP SuccessFactors into an Azure Databricks platform.
Design and maintain scalable, high-performance data pipelines across the Azure data stack.
Use API-based ingestion and analytics-grade transformations to support enterprise data platform initiatives.

Responsibilities

Design, build, and maintain enterprise-grade data pipelines within Microsoft Azure.
Create automated ingestion workflows extracting HR and organizational, compensation, job, recruiting, and performance data from SAP SuccessFactors into Azure Databricks.
Use SAP SuccessFactors OData APIs, Compound Employee APIs, and related integration mechanisms, orchestrated with Azure Data Factory (ADF) for scheduling and pipeline management.
Build data processing and transformation solutions using Azure Databricks, PySpark, and advanced SQL.
Manage datasets in Azure Data Lake Storage (ADLS), including data models, stored procedures, and incremental/full-load extraction strategies.
Implement data validation, reconciliation, error-handling, and performance tuning across integration workflows.
Collaborate with HR business analysts and technical stakeholders to translate complex data requirements into production-ready engineering solutions.

Required Qualifications

Proven experience as an Azure Data Engineer with ADF, Azure Databricks, ADLS, and complex SQL.
Hands-on experience ingesting and processing SAP SuccessFactors data using OData APIs, Compound Employee APIs, or similar API-based integration patterns into Databricks/Azure architectures.
Strong proficiency in PySpark and Python for transformation and distributed processing in Databricks.
Background designing incremental loads, delta lake, and full-load extraction strategies that support data integrity and scalability.
Excellent communication skills for partnering with technical architects, data engineers, and business stakeholders.

Technologies

Microsoft Azure
Azure Data Factory (ADF)
Azure Databricks
Azure Data Lake Storage (ADLS)
SQL
PySpark, Python
SAP SuccessFactors APIs (OData APIs, Compound Employee APIs)
delta lake
Incremental/full-load extraction strategies
ETL/ELT pipelines
Stored procedures

Compensation and Work Arrangement

Location: Charlotte, NC (hybrid)
Pay: USD 55 - 65 per hour
Job Type: Contract

Benefits

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay

Employment Terms

W2 only (no C2C, no third-party agencies, and no referrals)

Benefits Eligibility Timeline

Upon completion of waiting period, consultants are eligible for the benefits listed above.

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