Data Engineer

UL, LLC; Northbrook (IL); Hybrid; USD 110,000 - 150,000; Full time

Job summary

UL Solutions is seeking a data engineer to profile, validate, and transform source data into reliable data pipelines. You will design, build, test, and maintain ETL/ELT processes across Snowflake, Azure, and related platforms, optimizing SQL and data models for analytics-ready data products.

You will implement data quality controls, CI/CD practices, and monitoring, collaborating with data owners, architects, and security teams to ensure governance and secure data handling across the enterprise.

Qualifications

• 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.

Responsibilities

• Read and follow the Underwriters Laboratories Code of Conduct and all physical and digital security practices.
• Document technical designs, mappings, transformation logic, operational procedures, dependencies, and support information.
• Join UL Solutions to be at the center of safety and data integrity across global operations.

Skills

SQL proficiency

Cloud data platforms

ETL/ELT design

Data modeling

Git version control

CI/CD

Data governance

Education

Bachelor’s degree in Computer Science / Information Systems / Engineering / Data Analytics or related field

Tools

Snowflake

Azure data services

SQL Server

Data warehouses / lakehouse

Job description

• 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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#Hybrid

A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers’ products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.

UL LLC has been and will continue to be an equal opportunity employer. To assure full implementation of this equal employment policy, we will take steps to assure that:

Persons are recruited, hired, assigned and promoted without regard to race, color, age, sex or gender, sexual orientation, gender identity, gender expression, transgender status, religion, creed, national origin, ethnicity, citizenship, ancestry, disability, genetic information, military or veteran status, pregnancy, marital or familial status, or any other protected category under applicable law.