Senior Software Engineer (Data Engineering)

Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase transformed the solar industry with our revolutionary microinverter technology, which turns sunlight into a safe, reliable, resilient, and scalable source of energy to power our lives. Today, the Enphase Energy System helps people make, use, save, and sell their own power. Enphase is also one of the fastest growing and innovative clean energy companies in the world, with approximately 68 million products installed across more than 145 countries.  

We are building teams that are designing, developing, and manufacturing next-generation energy technologies and our work environment is fast-paced, fun and full of exciting new projects.  

If you are passionate about advancing a more sustainable future, this is the perfect time to join Enphase! 

About the role:   

As a Senior Software Engineer on the Enphase Solar O&M Engineering Team, you will design, build, and maintain robust data pipelines. You will work on ETL processes, ensuring data is processed efficiently and is always available for analysis.

Enable Enphase to succeed in Solar Energy domain by building application and services for various stakeholders of the company including homeowners, installers and customer support.

What you will do:  

• Design, implement, and optimize ETL pipelines.
• Build and maintain scalable data pipelines for real-time and batch processing.
• Develop workflows using Apache Airflow to automate data integration.
• Monitor data pipeline performance and ensure system reliability.
• Collaborate with analysts and data scientists to provide high-quality data.
• Troubleshoot and resolve data pipeline issues with minimal downtime.
• Perform data modeling and ensure data quality across systems.

Who You Are and What You Bring

• B.E/B.Tech in Computer Science or Electrical Engineering from top tier college and >70% marks  
• 5+ years of experience in data engineering.
• Proficiency in Python, Postgres, and Apache Airflow.
• Expertise in building and maintaining ETL pipelines.
• Experience with cloud-based data storage and processing systems.
• Strong understanding of database optimization and schema design.
• Attention to detail and a commitment to data quality.