Sr Staff Analytics Engineer

GE Vernova • Greenville, NC

1d

About The Position

GE Vernova is seeking a Senior Staff Analytics Engineer for the Wind Engineering Fleet Performance Management Fleet Data & Analytics team. The role designs and delivers data pipelines, analytics products, and monitoring capabilities that support engineering decisions across the global wind fleet, including turbine reliability and fleet performance.

The engineer owns analytics solutions throughout their lifecycle, from design through deployment, monitoring, and continuous improvement. The work uses data from SCADA systems, condition-based monitoring, turbine sensors, operational systems, and enterprise platforms. The role also partners with wind engineering, product, digital, and operations teams, and guides teammates while contributing to Agile planning and improving engineering and analytics practices.

Requirements

• At least 8 years of professional experience in analytics engineering, data engineering, software engineering, or a closely related technical field.
• Strong hands-on experience with Python and SQL for building production-quality analytics and data solutions.
• Experience designing, building, and supporting data pipelines, data models, and analytics workflows in industrial, engineering, or enterprise environments.
• Experience developing dashboards and data applications using Power BI, Tableau, Plotly Dash, Streamlit, or similar tools.
• Experience applying CI/CD, version control, testing, and release management practices in data and analytics environments.
• Experience working in Agile/Scrum delivery teams, including backlog management, sprint planning, and cross-functional coordination.

Nice To Haves

• Formal education and a subsequent bachelor's or master's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Statistics, or a related STEM field; the posting notes that total experience and professional achievements are also considered.
• Experience working with wind turbine, SCADA, sensor, operational, or event data in an analytics or engineering context.
• Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, Redshift, BigQuery, or equivalent distributed processing tools.
• Familiarity with cloud data platforms and platform-oriented engineering approaches for scalable analytics delivery.

Responsibilities

• Build and maintain scalable data pipelines and transformation workflows that turn raw turbine and fleet data into reliable, production-ready analytics assets.
• Develop analytics products, dashboards, and KPIs related to turbine reliability, fleet performance, and engineering outcomes.
• Design and evolve reusable data models and analytics components for cross-functional wind use cases, supporting team-wide standardization and quality.
• Monitor production solutions for data quality, pipeline health, and performance; lead root-cause analysis and troubleshoot complex datasets.
• Apply CI/CD, automated testing, version control, and release management practices to deliver maintainable solutions.
• Partner with wind engineering, product, digital, and operations teams to translate domain needs into practical, scalable technical solutions.
• Guide and mentor teammates and contribute to backlog and release planning within Agile delivery structures.
• Help raise the standard of engineering and analytics practice across the team.

Benefits

• Medical, dental, vision, and prescription drug coverage.
• Access to Health Coach from GE Vernova, a 24/7 nurse-based resource.
• Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services.
• GE Vernova Retirement Savings Plan, including a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions.
• Access to Fidelity resources and financial planning consultants.
• Tuition assistance.
• Adoption assistance.
• Paid parental leave.
• Disability benefits.
• Life insurance.
• 12 paid holidays.
• Permissive time off.
• Relocation assistance.
• Discretionary annual bonus eligibility.
• Professional development and on-the-job learning and development opportunities.
• Competitive compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed