Data Engineer

Job Description Summary

We are looking for a results-driven Data Engineer to join our Grid Innovation team and help shape the future of energy through AI. In this role, you will design, build, and maintain the infrastructure and data pipelines that power advanced AI/ML applications, driving innovation in the energy sector. Your work will enable efficient data collection, processing, storage, and analysis across complex and high-stakes environments.

Experience in the energy sector, smart infrastructure, or industrial automation is essential, as you will be supporting mission-critical systems where both regulatory compliance and operational reliability are paramount.

Reporting to the AI Leader within the CTO organization, you will collaborate closely with Grid Automation (GA) product lines, R&D teams, product management, and other GA functions. You'll also play a key role in cross-functional initiatives, developing scalable, unified data frameworks that address critical customer challenges and enable rapid AI prototyping and deployment, both at the edge and in the cloud.

• Design and maintain database structures, schemas, and data models.
• Apply appropriate storage technologies (Relational, NoSQL, Data Lakes, etc.) to ensure secure and efficient data management.
• Build and manage scalable, reliable data pipelines for data cleaning, transformation, feature extraction, and processing of both structured and unstructured data.
• Integrate data from internal and external APIs, ensuring seamless and automated data flows.
• Identify and onboard new datasets that enhance our AI/ML capabilities and support product development.
• Automate data integration processes and standardize data transformations based on business-specific needs.
• Monitor and optimize pipeline performance to ensure scalability and efficiency.
• Implement data quality checks and adhere to data governance best practices.
• Collaborate closely with Data Scientists and ML Engineers to ensure delivery of high-quality, relevant data.
• Work cross-functionally with Product Management, R&D, and Engineering to translate business needs into technical data solutions.

• 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.
• Proven experience in the energy sector, smart infrastructure, or industrial automation (e.g., smart grids, SCADA/PLC systems, utilities, Industry 4.0).
• Hands-on experience building and managing production-grade data pipelines.
• Proficiency in Python, SQL, and one additional language (e.g., Scala, Java).
• Strong knowledge of relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• 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.
• Experience with data architectures supporting GenAI models.
• Strong communication and collaboration skills; able to work cross-functionally in fast-paced environments.

• Familiarity with big data technologies like Apache Spark, Kafka, or Hadoop.
• Experience with data visualization tools (e.g., Tableau, Power BI) for reporting and dashboard creation.
• Knowledge of Graph Databases, and cloud-based data warehousing solutions (e.g., Snowflake, Redshift).
• Data storytelling and the ability to translate insights into actionable business recommendations.