Data Engineer, Google.org for Social Impact Google - 4.3 Seattle, WA Job Details Full-time $130,000 - $187,000 a year 5 hours ago Benefits Paid holidays Disability insurance Health insurance Dental insurance Paid time off Parental leave Vision insurance 401(k) matching Qualifications Data model design Systems integration Data Integration (Data management) Integration Architecture Design (Architecture design skills) Schema design Infrastructure architecture design Integration Platforms (Enterprise solutions) Dimensional modeling Stakeholder management Full Job Description Applicants 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

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA; Seattle, WA, USA .

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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.