{"schemaVersion":"jobsearcher.job.v1","id":"3d0add143efd78fbb3e8d519","url":"https://jobsearcher.com/jobs/3d0add143efd78fbb3e8d519","canonicalUrl":"https://jobsearcher.com/jobs/3d0add143efd78fbb3e8d519","title":"Senior Data Engineer","description":"Afresh is the leading AI company in fresh food—partnering with grocers like Albertsons, Wakefern, Meijer, and Stater Bros to order billions of dollars of fresh food in over 12,000 grocery departments nationwide.\r\nFollowing record-breaking 70% growth in 2025, we've expanded our platform to cover all fresh departments, launched our full store suite, and debuted DC Fresh Buying.\r\nWe're on a mission to eliminate food waste and make fresh food accessible to all. In 2025 alone our software helped save 200M lbs of food waste. 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 the future of fresh, there is no better time to join us.\r\nAbout the RoleAs a Senior Data Engineer, you'll play a key role in scaling and improving how we integrate and process customer data. 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. You'll also contribute to the development of new features that support our expanding product lines. 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.\r\nWhat You'll DoBuild tools and frameworks that streamline customer integrations, enabling faster onboarding and better handling of customer data.\r\nCreate robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use.\r\nInvestigate and implement new technologies into the data platform, focusing on practical solutions that address current pain points and anticipate future needs.\r\nCollaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features.\r\nIdentify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations.\r\nSolve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need.\r\nSupport team members by mentoring engineers, leading technical discussions, and providing clear, actionable feedback.\r\nWhat Makes You a Great FitSignificant experience designing and maintaining ETLs that process large-scale datasets.\r\nProficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT.\r\nStrong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions.\r\nA focus on practical outcomes—you're skilled at balancing technical rigor with the need to get things done.\r\nExperience working directly with complex, unclean datasets and finding innovative ways to process and analyze them.\r\nA knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort.\r\nExcellent communication skills—you're able to explain your ideas clearly to both technical and non-technical audiences.\r\nProven leadership in technical projects, with a willingness to mentor and help others grow.\r\nWhy Work Here\r\nJoin a mission-driven company reducing millions of pounds of food waste in grocery stores per year.\r\nWork on challenging, real-world problems that have a direct impact on our customers.\r\nBe part of a collaborative, supportive team where your ideas are valued and acted on.\r\nUse cutting-edge tools and platforms to solve meaningful data challenges.\r\nWe'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!\r\nThis position is not eligible for employer sponsorship.\r\nSalary Range in U.S.: $156,000 - $211,000\r\nSalary Range in Canada (CAD): $137,000 - $185,000\r\nAbout AfreshFounded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.\r\nAfresh 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 we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.\r\nFresh 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.\r\nAfresh 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.\r\nHere 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.#J-18808-Ljbffr","company":"Afresh","rawCompany":"afresh","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-11-04T02:17:06.326Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer","description":"Afresh is the leading AI company in fresh food—partnering with grocers like Albertsons, Wakefern, Meijer, and Stater Bros to order billions of dollars of fresh food in over 12,000 grocery departments nationwide.\r\nFollowing record-breaking 70% growth in 2025, we've expanded our platform to cover all fresh departments, launched our full store suite, and debuted DC Fresh Buying.\r\nWe're on a mission to eliminate food waste and make fresh food accessible to all. In 2025 alone our software helped save 200M lbs of food waste. 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 the future of fresh, there is no better time to join us.\r\nAbout the RoleAs a Senior Data Engineer, you'll play a key role in scaling and improving how we integrate and process customer data. 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. You'll also contribute to the development of new features that support our expanding product lines. 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.\r\nWhat You'll DoBuild tools and frameworks that streamline customer integrations, enabling faster onboarding and better handling of customer data.\r\nCreate robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use.\r\nInvestigate and implement new technologies into the data platform, focusing on practical solutions that address current pain points and anticipate future needs.\r\nCollaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features.\r\nIdentify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations.\r\nSolve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need.\r\nSupport team members by mentoring engineers, leading technical discussions, and providing clear, actionable feedback.\r\nWhat Makes You a Great FitSignificant experience designing and maintaining ETLs that process large-scale datasets.\r\nProficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT.\r\nStrong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions.\r\nA focus on practical outcomes—you're skilled at balancing technical rigor with the need to get things done.\r\nExperience working directly with complex, unclean datasets and finding innovative ways to process and analyze them.\r\nA knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort.\r\nExcellent communication skills—you're able to explain your ideas clearly to both technical and non-technical audiences.\r\nProven leadership in technical projects, with a willingness to mentor and help others grow.\r\nWhy Work Here\r\nJoin a mission-driven company reducing millions of pounds of food waste in grocery stores per year.\r\nWork on challenging, real-world problems that have a direct impact on our customers.\r\nBe part of a collaborative, supportive team where your ideas are valued and acted on.\r\nUse cutting-edge tools and platforms to solve meaningful data challenges.\r\nWe'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!\r\nThis position is not eligible for employer sponsorship.\r\nSalary Range in U.S.: $156,000 - $211,000\r\nSalary Range in Canada (CAD): $137,000 - $185,000\r\nAbout AfreshFounded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.\r\nAfresh 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 we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.\r\nFresh 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.\r\nAfresh 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.\r\nHere 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.#J-18808-Ljbffr","datePosted":"2026-11-04T02:17:06.326Z","dateModified":"2026-11-04T02:17:06.326Z","hiringOrganization":{"@type":"Organization","name":"Afresh","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3d0add143efd78fbb3e8d519"},"url":"https://jobsearcher.com/jobs/3d0add143efd78fbb3e8d519"}}