资深数据工程师,分析
Staff Data Engineer, Analytics
Afresh 是一家专注于生鲜领域的 AI 平台,最初致力于解决行业中最具挑战性的问题:生鲜。如今,它已发展成为零售超市的核心 AI 平台。
通过利用专有的 AI 技术,该技术专为高波动性环境设计,我们赋能像 Albertsons、Meijer 和 Wakefern 这样的合作伙伴,在整个企业范围内做出更明智的决策。
在 2025 年实现创纪录的 70% 收入增长后,我们已扩展到 6 个企业级解决方案,其中解决方案已覆盖美国超过 10% 的零售超市市场。我们的平台现在协调从门店到配送中心的数十亿次决策,并仅在去年就防止了超过 2 亿磅的食物浪费。
如果你正在寻找一个能直接带来巨大规模和社会效益的工作角色,并希望成为定义世界如何进食的团队的一员,那么现在加入我们是最佳时机。
关于职位:
在 Afresh,我们正在构建数据产品,以定义零售生鲜分析的未来。这些产品的神经中枢是我们分析平台,作为数据科学与分析团队的资深数据工程师,你将担任该平台的技术负责人。
我们不断增长的数据产品套件包括标准化报告、AI 驱动的洞察引擎以及代理分析工具。它们让我们的客户了解门店的实时情况,并帮助他们减少食物浪费。所有这些产品都需要一个可靠的数据平台,包括良好建模的数据、明确的指标以及丰富的元数据和上下文信息。
该平台还被公司内部的其他团队使用,以确保客户成功并改进我们的核心产品。数据科学与分析团队与公司内每个团队紧密合作,帮助他们构建产品并基于数据做出决策。你将经常与数据工程师、产品工程师、产品经理、数据科学家和运营专家互动。
你将负责:
作为数据科学团队的资深数据工程师,你将负责我们分析平台的开发。你将优化我们的数据模型,巩固我们的数据管道,并建立数据治理模式,以满足我们内部和面向客户的分析需求。你的部分职责包括:
- 改进、扩展和优化我们的数据分析架构,为我们的数据产品套件提供可靠且易于访问的数据;
- 与公司内部的利益相关者合作,了解他们的数据需求,然后构建相应的解决方案;
查看英文原文
Afresh, the AI platform for grocery, began by tackling the most complex problem in the industry: fresh, and has evolved into the core AI platform for grocers.
By leveraging proprietary AI designed for high-volatility environments, we empower partners like Albertsons, Meijer, and Wakefern to drive smarter decisions across their entire enterprise.
Following record-breaking 70% revenue growth in 2025, we have scaled to 6 enterprise-grade solutions, with solutions live in over 10% of the U.S. grocery market. Our platform now orchestrates billions of decisions from the store floor to the distribution center and prevented over 200 million pounds of food waste last year alone.
If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines how the world eats, there is no better time to join us.
About the role:
At Afresh, we’re building data products to define the future of retail grocery analytics. The nerve center of those products is our analytics platform, and as a Staff Data Engineer on the Data Science and Analytics team, you’ll be the technical leader of that platform.
Our growing suite of data products range from standardized reports to AI-driven insight engines and agentic analytics tools. They let our customers understand what’s happening in their stores and empower them to reduce food waste. All of these products require a reliable platform of well-modeled data, clearly-defined metrics, and extensive metadata and context.
This platform is also used by teams across the company to ensure customer success and improve our core products. The Data Science and Analytics team collaborates closely with every team in the company, helping them build products and make decisions with data. You will regularly interact with data engineers, product engineers, product managers, data scientists, and operations specialists.
What You'll Do:
As a Staff Data Engineer on the Data Science team, you will own the development of our analytics platform. You’ll evolve our data models, solidify our pipelines, and establish data governance patterns to serve our internal- and customer-facing analytics needs. Some of your responsibilities will include:
- Improving, extending, and optimizing our data analytics architecture to provide reliable and accessible data for our suite of data products;
- Collaborating with stakeholders across the company to understand their data needs, and then build extensible dimensional models, semantic layer metrics, and agentic context and tooling that will allow for consistent and reliable AI-assisted insights;
- Evolving our existing data quality and data governance processes; and
- Mentoring and up-skilling other engineers
This is a high-impact role with ownership of highly visible projects and a lot of room to grow in your scope.
Skills and experience:
- 6+ years of experience as a data engineer, analytics engineer, or similar role.
- Exceptional communication and leadership skills, with a proven ability to facilitate cross-team and cross-functional collaboration and information-sharing.
- A drive to learn new skills and dive into unfamiliar domains.
- A strong sense of ownership and agency — taking initiative to spot problems and solve them without waiting to be told.
- Fluency in advanced concepts in SQL, dimensional modeling, and data warehouse design; experience with Cloud Data Warehouse platforms (Databricks, Snowflake, BigQuery, etc.)
- Proficiency in dbt
- Experience with orchestration tools (Airflow/Astronomer, Dagster, or similar)
- Experience with modern semantic layers: LookML, Cube.dev, Databricks Metrics Views, dbt MetricFlow, etc.).
- Experience designing and optimizing pipelines of billion+ row datasets
- Experience working with and extending AI models to produce high quality code and reliable analytics
Salary Range in US: $168k - $250k + meaningful early-stage equity + benefits
Why You’ll Love Working at Afresh
At Afresh, our mission to eliminate food waste starts with investing in our people. We provide a comprehensive support system designed to help you do your best work while maintaining a healthy, balanced life.
- Comprehensive Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh. We also provide dedicated mental health support and counseling services.
- Invested in Your Future: Competitive base salary, meaningful equity (U.S. employees), and a 401(k) program with a generous company match.
- Flexible & Modern Workspace: Whether you work from home or a local office, we support your setup with a home office stipend and "Coworking Wallets" for flexible workspace access.
- Growth-Obsessed Culture: We believe in continuous learning. Every employee receives an annual professional development budget to master new skills and grow their career at Afresh.
- Holistic Monthly Stipends: Beyond your paycheck, we provide monthly stipends for "Betterment" (wellness/lifestyle) and telecommunications to ensure you have what you need to thrive.
- Time to Recharge: Flexible paid time off to take the time you need to recharge.
*Full-time U.S. employees are eligible for these benefits
About Afresh
Founded in 2017, Afresh is using AI to tackle the #1 solution to curb climate change: reducing food waste. By building AI specifically for the intricacies of grocery—from the fresh perimeter to the center store—we help grocers minimize waste and maximize sales.
Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals, including ICML, and our investors include Al Gore’s Just Climate, former Whole Foods Market CEO Walter Robb, and Eric Schmidt's Innovation Endeavors.
Grocery is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.
Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.
Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI.