Data Operations Engineer, Uplight

• A minimum of 3 years of professional experience developing in a modern programming language (Python preferred)
• Solid knowledge of ETL and data integration
• A value for testing and developing quality software
• Strong critical thinking skills and a desire to work with ambiguous challenges
• Experience working in an Agile environment and a strong understanding of the full SDLC
• Strong troubleshooting skills that span the full-stack (front-end clients, APIs, networking, DNS, Linux, containers, databases, distributed systems, etc.)
• Experience deploying production applications on at least one major cloud provider (AWS, GCP, Azure)
• Experience writing and maintaining data pipelines and ETLs leveraging Spark or similar tooling

Desirable

• We are looking for a Data Engineer to drive our company forward, and help us lead the clean energy revolution!
• Work as an Engineer on our analytics engineering team, primarily developing in Python and leveraging a wide range of technologies, notably: AWS and GCP, Docker, Apache Airflow, Apache Spark, and PostgreSQL
• Take problems from inception all the way to completion - own the building, testing, deployment, and maintenance of the code that you work on
• Tackle complex problems that span a wide range of technical abilities, including:
• Developing data pipelines to transform and process data between systems
• Productionize machine learning pipelines leveraging billions of rows of data
• Scaling our software to handle the ever-growing customer data
• Work effectively on an Agile team and collaborate well with your other team members
• Build robust and well documented processes to facilitate data triage and associated fixes
• Save the planet

• Application Deadline: March 12, 2025