Sr Staff Analytics Engineer

GE Vernova, Inc.; Greenville (SC); On-site; USD 123,000 - 205,000; Full time

Benefits offered by this job

Relocation assistance

Benefits package

Job summary

GE Vernova seeks a Senior Staff Analytics Engineer to join the Wind Engineering Fleet Performance Management team. You will design and deliver analytics products, data pipelines, and monitoring capabilities powering engineering decisions across GE Vernova's global wind fleet.

You’ll own the full analytics lifecycle—from design to deployment, with data from SCADA, sensors, and enterprise platforms. You’ll build scalable pipelines, dashboards, and reusable models, using tools like Power BI,

Qualifications

• 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 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.

Responsibilities

• Own development and operation of analytics solutions across the full lifecycle—from design through deployment, monitoring, and improvement.
• Work with SCADA, condition-based monitoring, turbine sensors, and enterprise platforms to build reliable analytics assets.
• Build and maintain scalable data pipelines and transformation workflows for turbine and fleet data.
• Develop dashboards and KPIs to surface insights on turbine reliability and fleet performance.
• Monitor data quality and pipeline health; perform root cause analysis and troubleshooting.

Skills

Python

SQL

Power BI

Tableau

CI/CD

Agile/Scrum

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Databricks

Spark

Snowflake

BigQuery

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

You will own the development and operation of analytics solutions across the full lifecycle — from design through deployment, monitoring, and continuous improvement. Working with data from Supervisory Control and Data Acquisition (SCADA) systems, condition-based monitoring, turbine sensors, operational systems, and enterprise platforms, you will:

• Build and maintain scalable data pipelinesand 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 componentsfor cross-functional wind use cases, driving standardization and quality across the team.
• Monitor production solutionsfor 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 teamsto 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 identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes

For candidates applying to a U.S. based position, the pay range for this position is between $123,200.00 and $205,200.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on October 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.