Senior Data Engineer, Google.org for Social Impact

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

Benefits offered by this job

Health, dental, vision, life, and-dis/

401(k) with company match

Paid Time Off: 20 days/year; 6.15 hrs/

Sick Time: 40 hrs/year (69 hrs in-Sea)

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

13 paid holidays

Job summary

Google.org for Social Impact is seeking a Senior Data Engineer to design and orchestrate a unified data infrastructure that powers AI-enabled BI and workflow automation. The role emphasizes cross-team collaboration, scalable data pipelines, and robust data governance.

You will lead complex ETL constraints, decommission legacy trackers, and drive harmonized source-of-truth assets across multiple data systems while partnering with stakeholders to ensure reliable, timely insights.

Qualifications

• 5 years designing data pipelines and dimensional data modeling for synch and asynch system integration.
• 5 years coding in one or more programming languages.
• 5 years working with data infrastructure and data models via exploratory queries and scripts.

Responsibilities

• Define the architecture and technical solution for a harmonized data infrastructure across internal and external Google.org data systems.
• Reduce data fragmentation by deprecating legacy trackers and owning source-of-truth assets.
• Size, plan, and lead zero-downtime data migrations across pipelines supporting Google.org pillar teams.
• Partner with business and engineering to design scalable AI-BI reporting architectures and AI workflow guardrails.
• Mentor teammates and build cross-team consensus on systems strategy and priorities.

Skills

Programming languages

Data infrastructure

Data modeling

Python/SQL

Distributed data computing

Education

Bachelor's degree or equivalent

Tools

Flume

DataFlow

Spark

Job description

Senior Data Engineer, Google.org for Social Impact

Share Senior Data Engineer, Google.org for Social Impact

corporate_fare Google place Mountain View, CA, USA ; Seattle, WA, USA ; +2 more

X 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

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; Seattle, WA, USA; Kirkland, WA, USA; San Francisco, CA, USA.

• Bachelor's degree or equivalent practical experience.
• 5 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.).
• 5 years of experience coding in one or more programming languages.
• 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.

Preferred qualifications:

• 5 years of experience with statistical methodology and data consumption tools such as business intelligence platforms and Jupyter notebooks.
• 3 years of experience developing project plans and delivering projects on time within budget and scope.
• 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
• Experience with Machine Learning for production workflows.
• Subject-matter expertise in two or more technical areas (e.g., Big Data, Systems Design, Machine Learning) with advanced proficiency in Python/SQL, distributed data computing (Spark/DataFlow/Flume), data modeling, and cloud data coordination.

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: $156000 - $226000 (USD) + 15% bonus target + equity + benefits

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.
• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.