Company Description
Label Insight plays a crucial part in how we digitize, enhance and distribute data to clients and the wider NielsenIQ business. To help achieve this, we work with open data ecosystems in the cloud. Our clients around the world rely on NielsenIQ's data and insights to innovate and grow.
Job Description
As a Data Engineer, you'll be part of a team of smart, highly skilled technologists who are passionate about supporting and progressing leading edge solutions to meet our business requirements.
What you'll do Help establish Data Engineering best practices with Label Insight domain
Design, develop, and implement end-to-end ETL and ELT pipelines
Create and improve complex queries and data transformation operations
Collaborate with stakeholders to design, develop and implement data extraction and reporting solutions (define requirements, refine, etc.) that best match their needs.
Supporting business functions to maximize the value of their data assets through visualizations and reporting tools such as Looker and Power BI.
Qualifications
We're looking for people who have:



Experience with modern data tools (e.g. Snowflake, Airflow, dbt) and cloud environments
Strong programming (esp. Python) and SQL skills
Knowledge of engineering best practices: CI/CD, testing, version control, infrastructure as code
Strong data modeling skills
Understanding of both relational and graph databases
Familiarity with building for agentic data flows
Experience with various analytical data platforms and technologies
Experience with Looker, Power BI, or other data visualization platforms
Experience in custom or structured data integration design, implementation, and maintenance
Degree in Computer Science, Engineering (or equivalent combination of skills and experience)
3+ years working within a data engineering/reporting environment
Additional Information
About NielsenIQ NielsenIQ is a general measurement and data analytics company that provides the most complete and trusted vi

📌 Data Engineer (Puerto Vallarta)
🏢 Nielseniq
📍 Puerto Vallarta