Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, Mathematics, or related field, or equivalent experience.
Experience in designing, developing, testing, and supporting data pipelines and ETL/ELT processes.
Strong SQL skills for query development, troubleshooting, and performance tuning.
Familiarity with cloud data platforms like Snowflake or Microsoft Azure.
Understanding of data profiling, quality, and validation concepts.
Experience with Git-based version control and CI/CD practices.
Ability to communicate effectively and apply data governance principles.
Responsibilities
Profile, analyze, and validate source data for quality and transformation requirements.
Design, develop, test, and maintain data pipelines from various sources.
Build scalable ETL/ELT solutions across cloud platforms and data warehouses.
Implement data quality checks and monitoring for pipeline execution.
Apply automated testing and version control practices in development.
Collaborate with business users and technical teams for data solutions.
Document technical designs and operational procedures.
Benefits
Hybrid work environment.
Opportunities for professional development and training.
Collaborative team culture.
Access to cutting-edge technology and tools.
Full Job Description
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.
Qualifications
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
#LI-PH1
#Hybrid
About UL
UL is a global safety certification company headquartered in Northbrook, Illinois. It was founded in 1894 and has been providing safety testing, inspection, and certification services for over 125 years. UL operates in over 100 countries and has more than 14,000 employees worldwide. The company's mission is to promote safe living and working environments by advancing safety science. UL's services cover a wide range of industries, including consumer products, industrial equipment, building materials, and more.
