Staff Engineer, Data and AI

🔥 0 minutes ago

🌐 United States, Canada, +1 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇲🇽 Mexico – Remote

🐻 Alaska, Arizona, +24 more states – Remote

🐻 Alaska – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🤠 Texas – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $200.5k - $236k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Change.org

WebsiteLinkedInAll Job Openings

51 - 200 employees

🌍 Social Impact

📱 Media

💰 $30M Series D - Change.org on 2017-05

Social Impact • Media

Change. org is a global online petition platform and public benefit corporation that helps individuals, communities, and organizations create, share, and promote petitions to drive social and political change. The site enables users to start petitions quickly, gather signatures from a large international audience, and connect with decision-makers and the media to influence policy and public opinion. Change. org emphasizes civic engagement and social impact, supporting campaigns across numerous countries and languages.

📋 Description

• Partner with PMs to translate business and product opportunities into scalable data and AI solutions from exploration through production rollout • Deliver reliable data products supporting AI-enabled features, experimentation, personalization, and company-wide decision-making • Build and scale batch and real-time pipelines for reporting, machine learning training, model evaluation, feature generation, and production inference • Evolve data and ML platform architecture across orchestration, storage, compute, streaming, and data access • Improve data trust and usability through data modeling, schema evolution, data contracts, testing, lineage, privacy controls, freshness, and recoverability • Create reusable tools, standards, and paved paths enabling teams to discover data and build dependable workflows independently • Maintain platform resilience and efficiency through observability, alerting, runbooks, incident response, on-call participation, performance tuning, and cost optimization • Lead architectural decisions, mentor engineers, review designs and code, reduce technical debt, and advance AI and agentic workflows • Participate in the on-call rotation • Report to the Senior Director of Data Engineering • Partner with teams across Change.org to build and scale the platform, pipelines, architecture, and tooling powering features, experimentation, and trusted decision-making

🎯 Requirements

• 7+ years of software engineering experience with significant experience building distributed systems, data platforms, ML platforms, or comparable production infrastructure • Hands-on experience building and operating large-scale batch and/or streaming data systems • Experience with Kafka, Spark, workflow orchestration, or similar technologies • Experience designing and operating cloud-native data infrastructure using AWS/GCP, infrastructure as code, containers, orchestration, and managed data services • Experience taking data or ML/AI systems into production, including reliability, observability, deployment, evaluation, and operational ownership • Practical experience with modern AI infrastructure, including embeddings/vector retrieval, LLM evaluation and observability, or agentic workflows • Ability to design and scale reliable batch and real-time data architectures • Strong software engineering judgment and ability to build maintainable, testable production systems in Python and/or comparable languages • Data modeling and SQL expertise • Cloud and platform architecture expertise across compute, storage, orchestration, streaming, infrastructure, and cost • Operational ownership involving observability, incident response, on-call participation, runbooks, performance tuning, and resilient systems • Understanding of modern AI and LLM infrastructure • Technical leadership through architecture, collaboration, mentoring, and influence • Professional-level English proficiency required • Resumes and application responses must be submitted in English • Must be legally authorized to work in the country where the role is located • Must answer whether employment visa sponsorship is currently or eventually required

🏖️ Benefits

• Benefits and perks vary based on location • Equal opportunity employer • Reasonable accommodations throughout the recruitment process • Professional-level English proficiency support for all roles