Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
RH
Robert Half
ERP Data Engineer
Career Insights for Data Engineer
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Florida data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$112,386 / year median in Florida
+12% projected growth
Job Description
Job Description Help for Job Description. Opens a new window. Description We are seeking an experienced ERP Data Engineer to support and enhance enterprise data solutions that integrate critical business information across ERP platforms. This role will focus on designing, developing, and maintaining data pipelines, data models, reporting datasets, and integrations that enable high-quality analytics and business decision-making. The ideal candidate will have experience working with ERP systems such as Oracle, SAP, Microsoft Dynamics 365, Workday, Infor, or NetSuite, along with strong SQL, ETL, and cloud data platform expertise. Responsibilities
- Design, develop, and maintain data pipelines that extract, transform, and load ERP data into enterprise data warehouses and analytics platforms.
- Build and optimize integrations between ERP systems and downstream applications.
- Develop scalable data models to support reporting, analytics, forecasting, and operational decision-making.
- Partner with business stakeholders, ERP teams, and analytics teams to understand reporting and data requirements.
- Ensure data quality, validation, governance, and consistency across multiple systems.
- Monitor and troubleshoot data integration processes and resolve data-related issues.
- Support ERP implementations, upgrades, migrations, and data conversion efforts.
- Create and maintain technical documentation, data mappings, and process flows.
- Optimize database performance, ETL processes, and reporting datasets.
- Support BI platforms including Power BI, Tableau, or similar analytics tools. Requirements Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.
- 3+ years of experience in Data Engineering, ERP Data Management, or Data Integration.
- Experience working with one or more ERP systems:
- Oracle ERP Cloud / Oracle EBS
- SAP ECC or S/4HANA
- Microsoft Dynamics 365
- Workday
- NetSuite
- Infor
- Advanced SQL development experience.
- Experience developing ETL/ELT solutions and data pipelines.
- Strong understanding of relational database concepts and data modeling.
- Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud.
- Strong analytical and problem-solving skills. Preferred Qualifications
- Experience with:
- Azure Data Factory
- Microsoft Fabric
- Azure Synapse Analytics
- Databricks
- Snowflake
- SSIS
- Informatica
- Talend
- Fivetran
- Experience supporting Finance, Supply Chain, Manufacturing, HR, or Procurement data domains.
- Knowledge of API integrations and web services.
- Experience with Power BI, Tableau, or enterprise reporting solutions.
- Familiarity with data governance and master data management practices.
- ERP, cloud, or data engineering certifications. Technical Environment Experience with some or all of the following:
- SQL Server
- Oracle Database
SAP HANA
- Microsoft Fabric
- Azure Synapse Analytics
- Azure Data Factory
- Databricks
- Snowflake
- Python
- PowerShell
- REST APIs
- Power BI
- Tableau
- Git•DevOps CI/CD What You'll Bring•Strong understanding of ERP data structures and business processes.
- Ability to translate business requirements into scalable data solutions.
- Experience working across functional and technical teams.
- Excellent troubleshooting and optimization skills.
- Strong communication and documentation abilities.
- Passion for data quality, automation, and continuous improvement.
- whenever you choose
- even on the go.