Senior Data Engineer, Google.org for Social Impact
Mountain View, CA · $156k–$226k a year · Posted September 30, 2026
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Pay compared with the market
This listing pays about $191,000 a year. Across 144 open senior data engineer listings that state pay, the middle half runs $145,000 to $200,500 and the median is $172,500. That is inside the middle half of those listings, 11% above the median.
Listed pay is what employers advertise, not what people are paid.
About the job
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corporate_fare Google place Mountain View, CA, USA ; Seattle, WA, USA ; +3 more ; +2 more
Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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info_outline 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
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 .
Minimum qualifications:
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 .
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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
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 <a target="_top" href="https://careers.google.com/how