Senior Azure Data Engineer (SAP SuccessFactors Focus)

Experis; Charlotte (NC); Hybrid; USD 114,000 - 136,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

401(k) with match

Weekly pay

Job summary

Experis seeks a Senior Azure Data Engineer to integrate SAP SuccessFactors HR and org data into an Azure Databricks analytics platform. You will design end-to-end ETL/ELT pipelines, ingest via APIs, and ensure robust processing in Microsoft Azure.

Responsibilities include building scalable pipelines, automating ingestion, and collaborating with HR analysts to translate complex data needs into production-grade solutions. Hybrid in Charlotte, contract role with competitive hourly pay.

Qualifications

• Proven experience as an Azure Data Engineer with ADF, Databricks, ADLS, and complex SQL.
• Hands-on experience ingesting SAP SuccessFactors data via OData/Compound Employee APIs into Databricks/Azure.
• Strong Python/PySpark skills for data transformation in Databricks.
• Experience with incremental and full-load extraction strategies for scalable pipelines.
• Excellent communication with architects, engineers, and business stakeholders.

Responsibilities

• Design, build, and maintain scalable data pipelines in Microsoft Azure.
• Develop automated ingestion workflows from SAP SuccessFactors into Azure Databricks.
• Use ADF for orchestration, scheduling, and pipeline management.
• Implement data processing using Databricks, PySpark, and advanced SQL.
• Manage datasets in ADLS and perform data modeling and stored procedures.
• Deliver validation, reconciliation, error handling, and performance tuning.
• Collaborate with HR stakeholders to translate data requirements into engineering solutions.

Skills

Communication

Team collaboration

Problem solving

PySpark

Python

Tools

Azure Data Factory

Azure Databricks

ADLS

SQL

PySpark

Python

SAP SuccessFactors APIs

OData APIs

Compound Employee APIs

Delta Lake

Job description

This contract role is for a Senior Azure Data Engineer focused on integrating enterprise HR and organizational data from SAP SuccessFactors into an Azure Databricks-based analytics platform. The position emphasizes end-to-end ETL/ELT pipeline design, API-driven ingestion, and reliable data processing in Microsoft Azure.

Responsibilities

• Design, build, and maintain scalable, high-performance data pipelines in Microsoft Azure to support enterprise data platform initiatives.
• Develop automated ingestion workflows to extract HR, 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, with Azure Data Factory (ADF) for orchestration, scheduling, and pipeline management.
• Implement data processing and transformation solutions using Azure Databricks, PySpark, and advanced SQL.
• Manage enterprise datasets in Azure Data Lake Storage (ADLS) and Azure-based data platforms, including data modeling, stored procedures, and incremental and full-load extraction strategies.
• Deliver robust 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-grade engineering solutions.

Requirements

• Proven experience as an Azure Data Engineer with expertise in Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), and complex SQL.
• Hands-on experience ingesting and transforming SAP SuccessFactors data using OData APIs, Compound Employee APIs, or other API-based integration patterns into Databricks and Azure architectures.
• Strong proficiency in PySpark and Python for data transformation and distributed processing within Databricks.
• Experience designing efficient incremental load, delta lake, and full-load extraction strategies that support data integrity and scalability.
• Excellent communication skills to work with technical architects, data engineers, and business stakeholders.

Key Technologies

• Microsoft Azure
• Azure Data Factory (ADF)
• Azure Databricks
• Azure Data Lake Storage (ADLS)
• SQL
• PySpark and Python
• SAP SuccessFactors APIs, including OData APIs and Compound Employee APIs
• ETL/ELT pipelines, incremental/full-load extraction strategies
• Delta Lake, stored procedures

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) with Plus Match
• Weekly Pay

Contract Details

• Location: Charlotte, NC (hybrid)
• Job type: contract
• Pay: USD 55 to 65 per hour
• Initial contract term through March 2027 with strong potential for multi-year extensions

Employment Terms

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

Benefits Eligibility After Waiting Period

Upon completion of the 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) with Plus Match, and Weekly Pay.