Data Engineer - Scalable ETL/ELT & Cloud Pipelines

UL, LLC; Polanco Chapultepec; Hybrid; MXN 600,000 - 900,000; Full time

Job summary

UL Solutions is seeking a Data Engineer to design, build, and optimize data pipelines and ETL/ELT processes. The role focuses on transforming and delivering data across cloud data platforms, ensuring quality, lineage, and secure handling of information.

Responsibilities include collaborating with data owners and engineers, implementing automated testing and CI/CD, and maintaining reusable data engineering components. A strong SQL background and experience with Snowflake/Azure are required.

Qualifications

• Bachelor's degree or equivalent education and experience.
• Experience designing, developing, testing, and supporting data pipelines.
• Strong SQL skills including query development and performance tuning.
• Experience with cloud data platforms and lakehouse technologies.

Responsibilities

• Profile, analyze, and validate source data to understand structure and quality.
• Design, develop, test, and maintain data pipelines ingesting data from internal and external sources.
• Build scalable ETL/ELT solutions across cloud data platforms and data warehouses.
• Develop and optimize SQL, stored procedures, scripts, and reusable components.
• Implement data quality checks, lineage capture, and pipeline monitoring.
• Collaborate with business users, data owners, and platform engineers.
• Document technical designs, mappings, and dependencies.
• Follow security practices and data governance policies.

Skills

SQL

ETL/ELT

Data pipelines

Cloud data

Data governance

Python

CI/CD

Education

Bachelor's degree in CS/IS/Engineering

Tools

Snowflake

Azure

SQL Server

Job description

UL Solutions is seeking a Data Engineer to design, build, and optimize data pipelines and ETL/ELT processes. The role focuses on transforming and delivering data across cloud data platforms, ensuring quality, lineage, and secure handling of information.

Responsibilities include collaborating with data owners and engineers, implementing automated testing and CI/CD, and maintaining reusable data engineering components. A strong SQL background and experience with Snowflake/Azure are required.