• Help customers shape their journey to adopting the cloud and provide our customers with technical and strategic guidance on their “cloud journey”. • Consult, plan, design, and implement Data solutions on the cloud customers. • Design AWS Data Lake implementations. • Develop high-quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud. • Innovate on behalf of customers and translate your thoughts into action yielding measurable results.

• Manage a team of Data Engineers and Data Analytics Engineers owning our data infrastructure, including our medallion layers, data pipelines, and collaborating closely with MLEs on LLM Operations and agentic products. • Navigate ambiguity, driving innovation through rapid prototyping and iterative development in cross-functional teams • Partner with function leads and senior leadership to align growth paths, performance expectations, and strategic goals with technical excellence standards. • Translate the Data Engineering vision into clear objectives, priorities, and milestones, ensuring effective project scoping, resourcing, and delivery. • Define and refine agile workflows tailored to data engineering, managing key rituals such as design sessions, sprint planning, and retrospectives. • Serve as the primary delivery interface across Product, Engineering, and Customer Success, ensuring alignment, transparent communication, and continuous improvement of team operations. • Drive hiring excellence by attracting, developing, and scaling a high-performing team aligned with business needs.

• Design and implement dimensional and normalized data models optimized for analytical workloads in lakehouse environments. • Build and manage modern data lakehouse solutions using AWS services including Amazon S3, AWS Glue, Amazon Redshift Spectrum, and Lake Formation for governance, cataloging, and fine-grained access control. • Develop, monitor, and optimize batch and near-real-time data pipelines using AWS Glue, AWS Lambda, Amazon Kinesis, and Step Functions. • Ingest structured, semi-structured, and unstructured data from APIs, databases, streaming sources, and third-party systems into the lakehouse. • Define and manage data infrastructure using AWS CloudFormation, CDK, with CI/CD pipelines. • Support model training and analytics initiatives by preparing datasets, performing analysis with strong attention to detail, and creating visualizations using AWS Quick Suite. • Perform other duties as assigned.

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. Following 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. We’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. About the Role As 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. What You’ll Do Build tools and frameworks that streamline customer integrations, enabling faster onboarding and better handling of customer data. Create robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use. Investigate and implement new technologies into the data platform, focusing on practical solutions that address current pain points and anticipate future needs. Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features. Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations. Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need. Support team members by mentoring engineers, leading technical discussions, and providing clear, actionable feedback. What Makes You a Great Fit We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification. Salary Range in U.S.: $156,000 - $211,000 Salary Range in Canada (CAD): $137,000 - $185,000 About Afresh Founded 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. 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 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. Fresh 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 .