Senior Azure Data Engineer (SAP SuccessFactors Focus)

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.