Sr Staff Analytics Engineer

GE Vernova; South Carolina; On-site; USD 120,000 - 160,000; Full time

Job summary

GE Vernova is seeking a Senior Staff Analytics Engineer to join the Wind Engineering Fleet Data & Analytics team. You will design and deliver data pipelines, analytics products, and monitoring capabilities powering turbine reliability, fleet performance, and engineering decisions.

You will build dashboards using Power BI/Tableau/Plotly/Streamlit, design scalable data models, and ensure data quality across production environments through CI/CD and strong collaboration with cross-functional wind

Qualifications

• Formal education in CS/Engineering/Data Science/etc is nice to have, but total experience matters most.
• 8+ years of professional experience in analytics engineering, data engineering, software engineering, or a closely related field.
• Strong hands-on experience with Python and SQL for production-quality analytics and data solutions.
• Experience designing, building, and supporting data pipelines, data models, and analytics workflows in industrial/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/analytics.
• Experience working in Agile/Scrum delivery teams, including backlog management and sprint planning.

Responsibilities

• Build and maintain scalable data pipelines and transformation workflows from raw turbine and fleet data.
• Develop analytics products, dashboards, and KPIs to surface insights on reliability and performance.
• Design reusable data models and analytics components for cross-functional wind use cases.
• Monitor production solutions for data quality, pipeline health, and performance; lead root cause analysis.
• Apply CI/CD, testing, version control, and release management practices to analytics solutions.
• Collaborate with wind engineering, product, digital, and operations teams to translate domain needs into scalable solutions.
• Mentor teammates and contribute to backlog and release planning in Agile delivery structures.

Skills

Python

SQL

Agile/Scrum

Education

Bachelor's or Master's degree in CS/Engineering/Data Science/Analytics/Math/Statistics or related STEM field

Tools

Power BI

Tableau

Plotly Dash

Streamlit

Job description

Job Description Summary

Wind energy generates some of the most complex, high-volume data in the energy sector. If you want to build the analytics infrastructure that helps keep turbines turning and fleets performing at their best, this role puts you at the center of that work.

GE Vernova is looking for a Senior Staff Analytics Engineer to join the Wind Engineering Fleet Performance Management (FPM) Fleet Data & Analytics team. You will design and deliver the data pipelines, analytics products, and monitoring capabilities that power engineering decisions across GE Vernova's global wind fleet. Your work will directly support turbine reliability, fleet performance, and the engineering teams who depend on trusted, scalable data every day.

Job Description

What You'll Do

• 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 Key Performance Indicators (KPIs) that surface insights on turbine reliability, fleet performance, and engineering outcomes - using tools such as Power BI, Tableau, Plotly Dash, or Streamlit.
• Design and evolve reusable data models and analytics components for cross-functional wind use cases, driving standardization and quality across the team.
• Monitor production solutions for data quality, pipeline health, and performance, leading root cause analysis and troubleshooting on complex datasets.
• Apply software engineering and DevOps best practices - including Continuous Integration/Continuous Delivery (CI/CD), automated testing, version control, and release management - to deliver solutions that are maintainable and built to last.
• Partner with wind engineering, product, digital, and operations teams to translate complex domain needs into practical, scalable technical solutions.
• Guide and mentor teammates, contribute to backlog and release planning within Agile delivery structures, and help raise the standard of engineering and analytics practice across the team.

What You'll Bring

You are a technically strong analytics engineer who is equally comfortable working in the data layer and collaborating with domain experts. You bring production discipline to your craft and the communication skills to operate effectively across engineering, product, and business stakeholders.

Required

• A formal education and subsequent Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Statistics, or a related STEM field is nice to have, but we are most interested in your total experience and professional achievements.
• 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.

Preferred

• 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.

Why GE Vernova

GE Vernova employees rise to the challenge of building a world that works. To support that mission, we offer varied, competitive benefits designed to reward high performers and help you manage your personal and family needs. A healthy, balanced lifestyle means something different to everyone - we've built programs that support the way you live and work today. We also invest in your growth, providing on‑the‑job learning and development opportunities that help you build a career that moves forward.

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender iden