出海雷达

资深数据工程师 / 技术负责人(配送中心)

Staff Data Engineer / Tech Lead (Distribution Center)

开发工程限定地区(需当地身份)
公司Afresh
薪资未公开
工作地点Remote - United States
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-06-25
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote - United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

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为复杂的问题:生鲜。如今,它已发展成为零售商的核心 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,其中解决方案覆盖了美国生鲜市场超过 10% 的区域。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大规模影响和社会价值的工作,并且希望成为定义世界如何进食的团队的一员,那么现在就是加入我们的最佳时机。

职位简介

作为 DC 解决方案团队的资深数据工程师,你将在构建和扩展支持我们 DC 产品套件的数据集成方面发挥技术领导作用。你将设计和实现可靠的 ETL 流程,处理大量客户提供的数据,并构建工具/改进平台,使客户集成更快、更准确、更具可扩展性。你的工作将直接影响我们客户上架的便捷性和速度,并推动我们的机器学习生鲜解决方案。

你将负责的工作

  • 工程与数据管道:使用 PySpark 和 dbt 设计、构建和优化强大的 ETL 流程,处理大规模客户数据集,同时开发工具和框架以简化数据集成并提高可扩展性。
  • 技术领导与战略:定义 DC 数据架构的技术愿景,指导工程师,并管理外部承包商,确保团队为当前和未来的需求交付高质量、实用的解决方案。
  • 跨职能协作:与产品、工程和应用科学团队合作,明确工作范围并交付解决客户数据质量和产品功能需求的实际问题的数据解决方案。

你为何是理想人选

我们鼓励所有高度合格的候选人申请,即使他们不满足所有列出的资格。

  • 在设计和维护处理大规模数据集的 ETL 流程方面有丰富经验。
  • 精通 Python、PySpark、SQL,并有在 Databricks 等平台/工具上工作的经验。
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

As a Staff Data Engineer, on the Distribution Center (DC) Solutions team, you’ll play a technical lead role in building and scaling the data integrations needed to support our suite of DC products. You will design and implement ETLs that reliably process large volumes of customer-provided data and build tools/improve the platform to make customer integrations faster, more accurate, and more scalable. Your work will have a direct and visible impact on our ability to onboard customers more easily and quickly and power our machine learning grocery solution.

What You’ll Do

  • Engineering & Data Pipelines: Design, build, and optimize robust ETLs using PySpark and dbt to process large-scale customer datasets while developing tools and frameworks to streamline data integrations and improve scalability.
  • Technical Leadership & Strategy: Define the technical vision for DC data architecture, mentor engineers, and manage external contractors to ensure the team delivers high-quality, practical solutions for current and future needs.
  • Cross-functional Collaboration: Partner with product, engineering, and applied science teams to scope work and deliver data solutions that address real-world challenges in customer data quality and product feature requirements.

What Makes You a Great Fit

We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification.

  • Significant experience designing and maintaining ETLs that process large-scale datasets.
  • Proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or dbt.
  • 2+ years of experience in a technical lead role (e.g. Tech Lead or Engineering Manager), with a willingness to mentor and help others grow.
  • Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions.
  • A focus on practical outcomes—you're skilled at balancing technical rigor with the need to get things done.
  • Experience working directly with complex, unclean datasets and finding innovative ways to process and analyze them.
  • A knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort.
  • Excellent communication skills—you’re able to explain your ideas clearly to both technical and non-technical audiences.

We’re looking for someone who thrives on tackling complex data problems and takes pride in building systems that work seamlessly at scale. If that sounds like you, we’d love to hear from you!

This position is not eligible for immigration sponsorship

Salary Range in US: $168K - $253K + 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.

本页面信息整理自 Greenhouse,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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