Senior Data Engineer – AI & Analytics

• Design and optimize PySpark-based data pipelines for batch and streaming data processing at scale.
• Develop advanced SQL transformations for analytics, reporting, and data consumption layers.
• Build and maintain data warehouse models (fact/dimension, star/snowflake, SCDs, data marts).
• Collaborate with AI/ML teams to create feature engineering pipelines and curated datasets.

This role directly supports Enphase Energy's mission to accelerate the transition to clean energy by building the data infrastructure that powers intelligent business decisions, optimizing solar and battery products for millions of users worldwide.

• 4–7 years of experience in data engineering or related roles with strong hands-on expertise in implementing AI projects using (Claude, GPT, Gemini).
• Proficiency in PySpark, Python, and advanced SQL (CTEs, window functions, query tuning).
• Experience handling streaming pipelines using Kafka/Kinesis.
• Strong understanding of data warehousing concepts and dimensional modeling.

Join a global leader in clean energy technology with opportunities to work on cutting-edge AI and IoT data systems. Compensation includes competitive salary and benefits (details not specified).

Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products, with over 80 million products shipped across 160 countries.