Role overview
The Data Engineer is a critical role in growing the data maturity of the lab organization at UL Solutions. The candidate will be a part of a multidisciplinary team of software developers, data scientists, and architects working toward developing data solutions for the lab. The ideal candidate will have a proven track record of developing ETL/ELT pipelines and data warehousing. Sources may come from disparate data types, including legacy databases and documents using popular open-source software. In this role, you will collaborate closely with product, technology teams, and management to design and validate the capabilities of the data platform. This position requires a proactive and innovative approach to problem-solving and a commitment to continuous improvement in data processing and orchestration.
- Profile and analyze data in designing scalable solutions.
- Leverage technologies such as the Azure BI Stack and Power BI visualization platforms, and modern developer tools to execute innovative solutions that facilitate data-driven analysis, automation, and data science.
- Analyze, develop, and maintain data pipelines from internal and external sources.
- Apply and build automated test-driven development, continuous integration/delivery, and version control best practices.
- Manage, monitor, and troubleshoot data pipeline infrastructure.
- Read and follow the Underwriters Laboratories Code of Conduct and follow all physical and digital security practices.
Performs other duties as directed.
As a data engineer, you will be a part of a multidisciplinary team of software developers, data scientists, and architects working toward developing data solutions for the lab.
Own the end-to-end ingest and egress frameworks for data pipelines that stitch together various data sources to produce valuable data products that drive the business
Partner with operations, product, and engineering teams to advocate best practices and build data solutions for the various needs
Design and roadmap UL's data maturity
Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, or related field
3+ years of experience with common data engineering tools such as Airflow, Spark, Pandas, etc.
3+ years of experience with creating ETL/ELT pipelines, from scratch using sources from disparate data types including legacy databases and documents.
3+ years in Python and SQL
Experience supporting and working with cross-functional teams
What we're looking for
UL Solutions has been pioneering change since 1894 and we’re still leading the way. From day one, we’ve blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science. That’s where you come in — because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe. This is more than a job. It’s a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today — and tomorrow. As a member of our safety science community, you’ll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world. Everyone here is unique. But we’re also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change. Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future — one where everyone benefits.
Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit https://www.ul.com/industries/energy-and-utilities/renewables
#LI-Remote
#LI-VP1