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Senior Data Engineer
Ge Vernova
Energy tech co. that designs, builds, services gas, nuclear, hydro, steam & wind power systems globally.
Design and maintain data pipelines for AI-driven grid solutions.
Work cross-functionally with Product Management, R&D, and Engineering to translate business needs into technical data solutions.
Integrate data from internal and external APIs, ensuring seamless and automated data flows.
Apply appropriate storage technologies (Relational, NoSQL, Data Lakes, etc.) to ensure secure and efficient data management.
Collaborate closely with Data Scientists and ML Engineers to ensure delivery of high-quality, relevant data.
Automate data integration processes and standardize data transformations based on business-specific needs.
Implement data quality checks and adhere to data governance best practices.
Design and maintain database structures, schemas, and data models.
Identify and onboard new datasets that enhance our AI/ML capabilities and support product development.
Monitor and optimize pipeline performance to ensure scalability and efficiency.
Build and manage scalable, reliable data pipelines for data cleaning, transformation, feature extraction, and processing of both structured and unstructured data.
What you bring
python
sql
aws
etl
spark
phd
Strong communication and collaboration skills; able to work cross-functionally in fast-paced environments.
Experience with data architectures supporting GenAI models.
Bachelor’s, Master’s, or PhD in Computer Science, Electrical/Computer Engineering, or a related field with a focus on data engineering or electric power systems.
Experience working with cloud platforms like AWS, Azure, or GCP for deploying data systems.
Solid understanding and hands-on experience with ETL/ELT processes and workflow automation.
Strong knowledge of relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Hands-on experience building and managing production-grade data pipelines.
Proven experience in the energy, smart infrastructure, or industrial automation sectors (e.g., smart grids, SCADA/PLC systems, utilities, Industry 4.0), with deep expertise in system protection, automation, monitoring, and diagnostics — typically acquired through a minimum of 5 years within a multinational manufacturing company.
Proficiency in Python, SQL, and one additional language (e.g., Scala, Java).
Knowledge of Graph Databases, and cloud-based data warehousing solutions (e.g., Snowflake, Redshift).
Familiarity with big data technologies like Apache Spark, Kafka, or Hadoop.
Data storytelling and the ability to translate insights into actionable business recommendations.
Experience with data visualization tools (e.g., Tableau, Power BI) for reporting and dashboard creation.
Benefits
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Training + Development
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Interview process
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Visa Sponsorship
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Security clearance
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Company
Overview
April 2024
Founded
The company emerged from the spin-off of GE's energy units in April 2024.
>$10B Quarterly Revenue
Revenue Growth
Achieves over $10 billion in quarterly revenue, driven by demand for power infrastructure and digital solutions.
$3B
Wind Turbine Backlog
Maintains a significant backlog in wind turbine orders, reflecting strong market demand.
25%
Global Electricity Supply
Contributes to generating 25% of the world’s electricity through its installed turbines and grids.
Traces roots back to Edison and Alstom, merging power, renewable, digital & financial wings.
Headquartered in Cambridge, MA, crafts large-scale gas turbines, SMRs, wind turbines, hydro and grid tech to fuel economies.
On the nuclear front, advancing small modular reactors (like BWRX‑300) in partnership with utilities and supporting semiconductor projects.
Wind prowess spans onshore, offshore and blade making—with key sites like Dogger Bank offshore and blade plants in Spain.
Electrification arm tackles grid stability: HVDC, transformers, storage, conversion, plus GridOS software powering smarter infrastructure.
Weaves finance and consulting through energy-infrastructure investments, funding solar farms to pipelines via GE Energy Financial Services.
Culture + Values
Relentlessly focused on advancing the world’s transition to cleaner, more sustainable energy.
Believes in working with customers, partners, and communities to create innovative energy solutions that make a meaningful difference.
Prioritizes excellence, integrity, and accountability in everything they do.
Committed to driving real change through technology and partnerships that will transform the global energy landscape.
Environment + Sustainability
2050 target
Net zero commitment
Committed to achieving net zero carbon emissions by 2050.
Focused on reducing emissions through advanced energy technologies.
Maximizing use of renewable energy sources and leveraging digital solutions for energy efficiency.
Solutions aim to decarbonize industries and help customers meet their sustainability goals.
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