Data Engineer, Google.org for Social Impact

Google

Kirkland (WA)

On-site

USD 130,000 - 187,000

Full time

35 hours ago
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Benefits offered by this job

Health insurance
401(k) with company match
Paid time off 20 days/year
Sick time 40 hours/year (Seattle 69)
Maternity leave 28-30 weeks
Baby bonding leave 18 weeks
13 paid holidays

Job summary

Google.org's Tech for Social Impact (TSI) team builds a harmonized data repository and visualization tools to support nonprofits and civic entities worldwide. The role defines architectures for end-to-end data pipelines, enables safe AI-powered analytics, and delivers dashboards that empower data-driven decisions across the Google.org portfolio.

This position offers a US-based salary range with equity and benefits, potentially hybrid work depending on location.

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.).

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.

Skills

Programming languages
Data infrastructure
Data modeling
ETL
Dashboards/BI tools

Education

Bachelor's degree or equivalent practical experience

Tools

Flume
DataFlow
Spark

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.

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

In most instances, this position requires in-person interviews as part of the hiring process.

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; Kirkland, 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

Responsibilities

Learn more about benefits at Google.

  • 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 .

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