Operations Engineer - Data Systems

Invenergy•Chicago, IL

2d•$90,000 - $115,000

About The Position

The Operations Engineer - Data Systems role primarily designs, builds, and maintains data systems that support a large operating fleet of wind energy assets. Responsibilities include developing scalable data architectures, data pipelines, and software tools that support business and analytics needs, performance optimization, and process automation across the operating portfolio.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or related discipline
Proficiency in Python, SQL, PySpark
Familiarity with Microsoft's PowerPlatform and/or other automation tools
Experience with Databricks
Experience with software development lifecycle and understanding of version control systems
Experience with database architecture & management
Experience with IoT, telemetry, and time-series data
Experience with cloud-based data infrastructure
Strong initiative, collaborative, prioritization, and time management skills
Critical thinking skills with the ability to identify and solve complex problems
Eligible to work in the United States without the need for employer visa sponsorship now or in the future.

Nice To Haves

Experience with non-relational databases such as NoSQL
Experience with AVEVA PI products
Experience with renewable energy technology, especially wind
Familiarity with data visualization / business intelligence tools
Familiarity with Microsoft Office products

Responsibilities

Develop architecture & maintain databases of critical equipment metadata
Manage data flows that feed real-time predictive models
Work closely with field experts, business & data analysts, IT and SCADA teams to solve data access, architecture, and process automation needs
Collaborate with operations teams to design, develop, and test internal software at scale
Deploy and maintain environments for real-time analytics and anomaly detection
Program custom software to meet internal requests for process automation
Manage the ETL process for transforming operational SCADA data into self-service data warehouses & BI applications
Clean and load streaming & batch-style client-provided operational data to enable in-house analytics-as-a-service
Empower subject matter experts with access to non-SCADA data
Maintain code repository with version control