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. 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 Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee Assistance Program (EAP) Equal Opportunity/Affirmative Action Employer NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. #J-18808-Ljbffr