Data Operations Engineer

Uplight is creating a new category of energy by developing software that manages energy resources. They are seeking a Data Operations Engineer to work on analytics engineering, developing data pipelines, and collaborating with various teams to support data infrastructure and operations.

Responsibilities:

• 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, Implement monitoring, alerting, and logging systems for data pipelines, Automate routine data operations tasks and optimize workflows for scalability and efficiency
• Work effectively on an Agile team and collaborate with data engineering, analytics, and DevOps teams to support data infrastructure
• Build robust and well documented processes to facilitate data triage and associated fixes
• Participate in on-call rotation and incident response related to data system outages or failures
• Save the planet

Requirements:

• 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
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
• Experience in the utility industry
• Experience working cross-functionally with design, product, customer success, sales, etc
• Deep technical knowledge of Python, AWS/GCP, Docker, and/or PostgreSQL