EMS Data Engineer

About this role

RESPONSIBILITIES:


Kforce has a client in Armonk, NY that is seeking an EMS Data Engineer to support the design, integration, and optimization of data pipelines within Energy Management Systems (EMS) environments. This role will play a critical part in enabling real-time and historical data flows across SCADA/EMS platforms, supporting grid operations, analytics, and enterprise data initiatives.


Key Responsibilities:

• Design, build, and maintain scalable data pipelines supporting EMS and SCADA systems
• Integrate real-time operational data from EMS platforms into enterprise data environments (e.g., data lakes, warehouses)
• Work closely with operations, grid engineering, and IT teams to ensure accurate and timely data availability
• Support data modeling and transformation for power systems data, including telemetry, outage, and asset data
• Enable downstream use cases such as advanced analytics, forecasting, and grid optimization
• Ensure data quality, governance, and compliance across EMS data flows
• Troubleshoot and resolve data integration and performance issues in real-time environments
• Collaborate with system integrators and vendors on EMS-related data initiatives

REQUIREMENTS:

• 5+ years of experience in data engineering, with exposure to EMS or SCADA environments
• Strong understanding of Energy Management Systems and utility operations (Transmission & Distribution preferred)
• Experience with real-time data ingestion and streaming technologies
• Proficiency in SQL and at least one programming language (Python, Scala, or Java)
• Hands-on experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform
• Familiarity with time-series data and industrial protocols (e.g., ICCP, OPC)
• Experience working with large-scale data platforms (e.g., Snowflake, Databricks, Hadoop)

Preferred Qualifications:

• Experience with EMS platforms such as GE, Siemens, or ABB
• Knowledge of grid operations, load forecasting...