[Remote] Senior Staff Data Engineer

Note: The job is a remote job and is open to candidates in USA. Afresh is an AI platform for grocery that aims to reduce food waste and improve decision-making across the industry. As a Senior Staff Data Engineer, you will be responsible for architecting and building core data systems and pipelines, driving data quality, and collaborating with various teams to meet customer needs.ResponsibilitiesArchitect and build core data systems and pipelines that power Afresh products, owning reliability and quality from raw data through to productionTake on our most ambiguous, high-leverage data problems and drive them to a shipped solution — without waiting for a detailed specSet technical direction: define the architecture, patterns, and abstractions that make customer integrations and product dataflows faster, cleaner, and more repeatable over timeDrive data quality and pipeline reliability — invest in better alerting, self-healing patterns, and resilience to messy or incomplete real-world customer dataChampion AI-forward engineering: evaluate and adopt AI tools and agentic workflows that accelerate development, automate repetitive work, and push the team to the bleeding edge of modern data engineeringRaise the bar technically — review code and architecture decisions, pair with engineers on hard problems, and mentor across the teamCollaborate deeply with Product, ML, Solutions Engineering, and customer-facing teams to scope work, unblock dependencies, and make sure what we build meets real customer needsSkillsExtensive experience (typically 8+ years) building data engineering systems, with a track record of operating at a staff or principal levelDeep technical expertise across Python, PySpark, SQL, dbt, Airflow, and modern data platforms (Databricks, Snowflake, or similar)A history of shipping high-quality data integrations or ETL systems at scale, and a deep understanding of what makes data pipelines reliableProven ability to own ambiguous, end-to-end problems and set technical direction in a fast-moving environment with no established playbookGenuine enthusiasm for AI-augmented engineering. You've experimented with AI coding tools, agentic workflows, or similar, and have a vision for how they can transform data engineeringComfort working with messy, real-world data from enterprise customers, and the pragmatism to ship solutions that work without over-engineeringStrong collaboration and influence skills — you're effective working across engineering, product, and customer-facing teams, and you can move others without formal authorityExperience in grocery, retail, or supply chain data domainsPrior experience at a high-growth startup navigating rapid customer expansionA history of acting as a technical leader who sets direction across multiple teams or projectsBenefitsComprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh.Dedicated mental health support and counseling services.Competitive base salary, meaningful equity (U.S. employees), and a 401(k) program with a generous company match.Home office stipend and "Coworking Wallets" for flexible workspace access.Annual professional development budget to master new skills and grow their career at Afresh.Monthly stipends for "Betterment" (wellness/lifestyle) and telecommunications to ensure you have what you need to thrive.Flexible paid time off to take the time you need to recharge.Company OverviewAfresh is an AI-powered company selling software to track demand and manage orders for fresh produce in grocery stores. It was founded in 2017, and is headquartered in Oakland, California, USA, with a workforce of 51-200 employees. Its website is https://afresh.com.