Data Operations Engineer

Uplight

23h

About The Position

Uplight is creating a new category of energy by developing software that manages energy resources in homes and businesses, including smart thermostats, electric vehicles, solar panels, storage batteries, heat pumps, and human behavior. This software generates, shifts, or saves energy to balance the grid, making it more efficient and reliable, and creating clean energy capacity that can be used instead of burning fossil fuels. Uplight's solutions accelerate the transition to clean energy and save money for energy customers. The company is seeking a Data Operations Engineer to join their analytics engineering team to contribute to these ambitious goals for the business and 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.

Nice To Haves

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.

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