Data Engineer
Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 22, 2026. UL Solutions scores A on the Alion truth index.
- Profile, analyze, and validate source data to understand structure, quality, business meaning, and transformation requirements.
- Design, develop, test, and maintain data pipelines that ingest, transform, and deliver data from internal and external sources.
- Build scalable ETL/ELT solutions across cloud data platforms, data warehouses, lakehouse patterns, and data integration tools.
- Develop and optimize SQL, stored procedures, scripts, and reusable data engineering components.
- Implement data quality checks, reconciliation controls, error handling, logging, lineage capture, and pipeline monitoring.
- Apply automated testing, version control, code review, continuous integration, and deployment practices.
- Monitor pipeline execution, investigate failures, resolve data issues, and support root cause analysis.
- Collaborate with business users, data owners, data stewards, architects, security teams, and platform engineers.
- Document technical designs, mappings, transformation logic, operational procedures, dependencies, and support information.
- Read and follow the Underwriters Laboratories Code of Conduct and all physical and digital security practices.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, Mathematics, or related discipline, or equivalent education and experience.
- Experience designing, developing, testing, and supporting data pipelines, ETL/ELT processes, integrations, or analytics data solutions.
- Strong SQL skills, including query development, troubleshooting, transformation logic, and performance tuning.
- Experience with cloud data platforms, data warehouses, or lakehouse technologies such as Snowflake, Microsoft Azure data services, SQL Server, or comparable platforms.
- Understanding of data profiling, data quality, validation, structured data, semi-structured data, and unstructured data concepts.
- Familiarity with dimensional modeling, curated datasets, semantic layers, reporting structures, or analytics-ready data products.
- Experience with Git-based version control, code review, automated testing, CI/CD, and agile delivery practices.
- Ability to isolate root causes, communicate clearly, and apply secure data handling, governance, lineage, privacy, and access control concepts.
What you’ll experience working for ULS
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 UL.com
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