Data Engineer, 3P Geo Data Operations

Benefits

Parental leave

18 weeks From the posting source

Non-birth-parent leave

18 weeks From the posting source

Family-building benefits

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

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

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

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Engineer, 3P Geo Data Operations Dublin, Ireland As the Data Engineer, Geo Operations, you will be responsible for leading the technical implementation for Geo partners, focusing on data systems and pipelines. You'll be responsible for designing and managing complex data, and acting as the "voice of the partner" in product feature prioritization discussions. This involves collaborating with internal product and engineering teams, as well as external partners, to increase the efficiency of how we implement Geo products. The main focus for our team is building and sustaining robust data pipelines that accelerate vector-based geospatial data product creation and curation. The team's efforts directly address key operational challenges in data processing, tracking, and quality for the goal of delivering improved pipeline scale and reliability, reduced manual effort, and faster data delivery and publishing to Google Maps. We employ data engineering best practices in leveraging Google internal and Cloud infrastructure for building and maintaining Extract, Transform and Load (ETL) capabilities. We also deploy and manage industry-standard geospatial infrastructure and tooling, integrating such with Google-based technologies. Finally, we serve as an internal incubator to explore and test promising AI applications that can further enhance our capabilities. The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives. The Geo team also enables developers to

Read the full description at www.google.com. FewerJobs shows a preview and links to the original posting.