Hybrid Data Engineer: Scalable ETL/ELT Pipelines

UL, LLC; México; Hybrid; MXN 420,000 - 660,000; Full time

Benefits offered by this job

Hybrid work

Job summary

UL Solutions is seeking a data engineer to design, build, and maintain scalable data pipelines across cloud platforms. You will optimize SQL-based components, implement data quality checks, and collaborate with cross-functional teams to deliver analytics-ready data products.

The role emphasizes CI/CD practices, documentation, and secure data handling. The position offers a hybrid work model with opportunities to work across a global safety science network and contribute to enterprise data

Qualifications

• Profile, analyze, and validate source data to understand structure, quality, and transformation requirements.
• Design, develop, test, and maintain data pipelines that ingest, transform, and deliver data.
• Build scalable ETL/ELT solutions across cloud data platforms 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, CI/CD, 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 UL 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.

Skills

Data profiling

ETL/ELT design

SQL development

Cloud data platforms

Data quality checks

CI/CD

Collaboration

Documentation

Education

Bachelor's degree in Computer Science or related

Tools

Snowflake

Azure data services

SQL Server

Git-based version control

Job description

UL Solutions is seeking a data engineer to design, build, and maintain scalable data pipelines across cloud platforms. You will optimize SQL-based components, implement data quality checks, and collaborate with cross-functional teams to deliver analytics-ready data products.

The role emphasizes CI/CD practices, documentation, and secure data handling. The position offers a hybrid work model with opportunities to work across a global safety science network and contribute to enterprise data