Data Operations Engineer
United States
Uplight
Uplight supports energy providers around the world with clean energy solutions for customer engagement and grid flexibility management.The Position:Uplight is creating a new category of energy. We make software that manages energy resources in homes and businesses—including things like smart thermostats, electric vehicles, solar panels, storage batteries, heat pumps, and even people’s behavior—to generate, shift, or save energy to balance the grid, making it more efficient and reliable. This creates clean energy capacity that can be used by the power grid instead of burning more fossil fuels. Our solutions accelerate the transition to clean energy and save money for energy customers.We are looking for a Data Engineer to drive our company forward, and help us lead the clean energy revolution!How you will make an impact:
- 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
- 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
- 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.
- Make a Meaningful Impact: Your work directly impacts our mission of decarbonization and building a more sustainable future.
- Grow Your Career: We offer ample advancement opportunities, robust learning and development programs, and a supportive team environment that fosters collaboration and innovation.
- Thrive: We offer comprehensive benefits, including flexible time off, generous parental leave, a wellness stipend, and work flexibility to help you thrive both personally and professionally.
- Belong to an Inclusive Community: We celebrate diversity and foster an inclusive workplace where everyone feels respected, empowered, and heard. Our Employee Resource Groups offer opportunities to connect with colleagues who share your interests and backgrounds.
- Be Part of a Growing Movement: Join a team of dedicated individuals who are passionate about creating a more sustainable future. We offer a collaborative environment where your ideas are valued and your contributions
Tags: Agile Airflow APIs AWS Azure DataOps Data pipelines Distributed Systems Docker Engineering ETL GCP Linux Machine Learning Pipelines PostgreSQL Python SDLC Spark Testing
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Parental leave Salary bonus Wellness
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.