Senior Azure Data Engineer (SAP SuccessFactors Focus)

ManpowerGroup Global, Inc.; Charlotte (NC); Hybrid; USD 76,000 - 90,000; Full time

Job summary

ManpowerGroup Global, Inc. in Charlotte, NC is seeking a Senior Azure Data Engineer with SAP SuccessFactors focus. The role centers on building scalable data pipelines and integrating HR data from SAP SuccessFactors into Azure Databricks.

You will design and optimize ETL/ELT pipelines using ADF, PySpark, ADLS, and SQL, working with SAP APIs to power enterprise apps and analytics. The contract runs through March 27, 2027 with high likelihood of extensions, and is W2 only.

Qualifications

• Experience with Azure Data Factory, Databricks, ADLS and SQL.
• Hands-on SAP SuccessFactors API ingestion experience.
• Proficient in PySpark and Python for data processing.

Responsibilities

• Design, build, and maintain scalable data pipelines in Azure.
• Ingest HR data from SAP SuccessFactors via APIs into Databricks.
• Orchestrate pipelines with ADF and manage data transformations.
• Develop data models and optimize performance of ETL/ELT processes.
• Ensure data quality, governance, and collaboration with stakeholders.

Skills

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

PySpark

SQL

SAP SuccessFactors API ingestion

API integration

Python

Data Pipeline

Job description

Senior Azure Data Engineer (SAP SuccessFactors Focus)

Location: Charlotte, NC (Hybrid)

Pay Rate: $55.00 – $65.00 / hr W2

Position Type: Contract (10/19/2026 – 3/27/2027 + High Likelihood of Long-Term Extensions)

Employment Terms: STRICTLY W2 ONLY (No C2C, no third-party agencies, and no referrals)

Position Overview

We are seeking an experienced Azure Data Engineer with deep expertise in building scalable enterprise data pipelines, modern data architectures, and API integrations. A primary focus of this role is extracting, transforming, and ingesting HR and organizational data from SAP SuccessFactors into an Azure Databricks platform.

In this role, you will be responsible for designing and optimizing end-to-end ETL/ELT pipelines using Azure Data Factory (ADF), Azure Databricks (PySpark), ADLS, and SQL, working directly with SAP SuccessFactors APIs (OData, Compound Employee) to power downstream enterprise applications and analytics platforms.

Key Responsibilities

• Data Pipeline Architecture & Engineering: Design, build, and maintain scalable, high-performance data pipelines within Microsoft Azure to support enterprise data platform initiatives.
• SAP SuccessFactors Integration: Develop automated data ingestion pipelines extracting HR, organizational, compensation, job, recruiting, and performance data from SAP SuccessFactors into Azure Databricks.
• API Ingestion & Orchestration: Leverage SAP SuccessFactors OData APIs, Compound Employee APIs, and related integration mechanisms, using Azure Data Factory (ADF) for orchestration, scheduling, and pipeline management.
• Data Transformation & Processing: Build data processing and transformation solutions using Azure Databricks, PySpark, and advanced SQL.
• Storage & Data Modeling: Manage enterprise data within Azure Data Lake Storage (ADLS) and Azure-based data platforms, building data models, stored procedures, and incremental/full-load extraction strategies.
• Data Quality & Governance: Implement robust data validation, reconciliation, error-handling, and performance tuning across all integration workflows.
• Cross-Functional Collaboration: Partner with HR business analysts and technical stakeholders to translate complex data requirements into production-grade engineering solutions.

Qualifications & Required Experience

• Core Azure Stack: Proven track record as an Azure Data Engineer with expertise in Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), and complex SQL.
• SAP SuccessFactors API Ingestion (Required): Hands‑on experience pulling and processing data from SAP SuccessFactors using OData APIs, Compound Employee APIs, or API‑based integration patterns directly into Databricks/Azure architectures.
• Big Data & Scripting: Strong proficiency with PySpark and Python for data transformation and distributed processing within Databricks.
• Pipeline Design: Strong background designing efficient incremental load, delta lake, and full-load extraction strategies ensuring data integrity and scalability.
• Communication: Excellent communication skills to interact with technical architects, data engineers, and business stakeholders.

Why Apply?

• High-Impact Project: Lead a business-critical data integration initiative connecting enterprise HR systems with modern cloud analytics platforms.
• Long-Term Stability: Initial contract running through March 2027 with strong potential for multi-year extensions.
• Great Charlotte Location: Hybrid schedule based in Charlotte, NC.

Upon completion of waiting period consultants are eligible for:

• 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

• 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