info_outline
XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 3 years of experience coding in one or more programming languages.
- 3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
- 3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
Preferred qualifications:
- 3 years of experience with statistical methodology and data consumption tools such as business intelligence platforms and Jupyter notebooks.
- 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
- 3 years of experience developing project plans and delivering projects on time within budget and scope.
- Experience with Machine Learning for production workflows.
- A passion for social impact, philanthropy, and empowering nonprofits and civic entities through data.
About the job
The Google.org Tech for Social Impact (TSI) team works to accelerate sustained social impact through technology. We do this by supporting Google.org and the wider ecosystem of nonprofits and civic entities through data infrastructure, data visualization tools, and products that help them accomplish their missions.
The TSI team leads the work to unify Google.org’s data and operational workflows into a single, trusted source of truth across global giving. By building a harmonious data repository, integrating partner records and CRM workflows, and powering AI-enabled business intelligence and workflow automations, we eliminate administrative friction and enable both data-driven human decision-making and safe, reliable AI autonomy across our philanthropic portfolio.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $130000 - $187000 (USD) + 15% bonus target + equity + benefits
Learn more about
benefits at Google.
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.
- Develop a harmonized data repository and algorithmic data infrastructure solutions that simplify reporting and visualization across Google.org data tools.
- Execute zero-downtime data migrations with shadow testing and automated rollback checkpoints.
- Build well-structured data assets and tables powering dashboards and self-service AI-powered BI analytics tools.
- Implement AI-assisted data validation workflows.
