Senior Data Engineer - AI-Driven Data Infrastructure

Google; Kirkland (WA); On-site; USD 156,000 - 226,000; Full time

Benefits offered by this job

Health, dental, vision, life, and-disb

401(k) with company match

Paid Time Off: 20 days per year

Sick Time: 40 hours/year (Seattle 69)

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

13 paid holidays

Job summary

The Google.org Tech for Social Impact (TSI) team accelerates social impact through data infrastructure, visualization tools, and AI-enabled workflows. We unify Google.org data and operations into a single trusted source of truth across global giving, enabling data-driven decisions for nonprofits and civic entities.

Individual pay is determined by job-related skills and experience. US: $156000 - $226000 (USD) + 15% bonus target + equity + benefits.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years designing data pipelines and dimensional data modeling.
• 5 years coding in one or more programming languages.
• 5 years working with data infrastructure and data models via queries and scripts.
• 5 years with statistical methodology and data consumption tools.

Responsibilities

• Define the architecture and technical solution for a harmonized data infrastructure, leading complex ETL constraints across both internal and external Google.org data systems.
• Reduce data fragmentation by deprecating legacy trackers and data assets, and by owning technical solutions to establish discoverable source-of-truth assets.
• Size, plan, and lead zero-downtime data migrations across data pipelines that support all Google.org pillar teams, and guide integration across a heterogeneous set of data tools.
• Partner with business and engineering partners to design scalable AI-BI reporting architectures and AI workflow guardrails.
• Mentor teammates and build cross-team consensus on systems strategy and priorities.

Skills

Data pipelines

Dimensional modeling

Python

SQL

Data infrastructure

Machine Learning

Stakeholder management

Distributed data computing

BI tools

Education

Bachelor's degree or equivalent practical experience

Tools

Flume

DataFlow

Spark

Jupyter notebooks

Job description

The Google.org Tech for Social Impact (TSI) team accelerates social impact through data infrastructure, visualization tools, and AI-enabled workflows. We unify Google.org data and operations into a single trusted source of truth across global giving, enabling data-driven decisions for nonprofits and civic entities.

Individual pay is determined by job-related skills and experience. US: $156000 - $226000 (USD) + 15% bonus target + equity + benefits.