Data Engineer

NielsenIQ

1d

About The Position

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.

Requirements

• 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

Responsibilities

• 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.

Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level