Senior Data Engineer, Google.org for Social Impact

Google; Kirkland (WA); Sur place; USD 156 000 - 226 000; Plein temps

Avantages offerts par ce poste

Health, dental, vision, life, and-disb

401(k) with company match

Paid Time Off: 20 days per year

Sick Time: 40 hours/year (Seattle 69)

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

13 paid holidays

Résumé du poste

The Google.org Tech for Social Impact (TSI) team accelerates social impact through data infrastructure, visualization tools, and AI-enabled workflows. We unify Google.org data and operations into a single trusted source of truth across global giving, enabling data-driven decisions for nonprofits and civic entities.

Individual pay is determined by job-related skills and experience. US: $156000 - $226000 (USD) + 15% bonus target + equity + benefits.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years designing data pipelines and dimensional data modeling.
• 5 years coding in one or more programming languages.
• 5 years working with data infrastructure and data models via queries and scripts.
• 5 years with statistical methodology and data consumption tools.

Responsabilités

• 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.

Connaissances

Data pipelines

Dimensional modeling

Python

SQL

Data infrastructure

Machine Learning

Stakeholder management

Distributed data computing

BI tools

Formation

Bachelor's degree or equivalent practical experience

Outils

Flume

DataFlow

Spark

Jupyter notebooks

Description du poste

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.

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

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.
• 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 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 .