Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Engineer Ciudad de México, DIF, Mexico 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

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