Staff Data Engineer, Analytics

🕒 September 11

🏈 Alabama, California, +19 more states – Remote

🏈 Alabama – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🐎 Kentucky – Remote 🦬 Montana – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Afresh

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🍽️ Food & Beverage

📦 Logistics

💼 Consulting

Food & Beverage • Logistics • Consulting

Afresh is a technology company that provides innovative solutions for the fresh food grocery sector. Their platform leverages cutting-edge machine learning to optimize ordering, inventory management, and reduce food waste, helping grocery teams to manage fresh produce more efficiently. Afresh aims to transform grocery store operations with best-in-class technology, ensuring fresher displays, faster inventory turns, and increased sales. By enhancing operational efficiency and accuracy, Afresh supports grocers in sustainability goals like reducing greenhouse gas emissions and water usage. The company is committed to sustainably nourishing the world with fresh food.

📋 Description

• Own the development of Afresh’s analytics platform • Improve, extend, and optimize data analytics architecture for reliable and accessible data products • Collaborate with stakeholders across the company to understand data needs • Build extensible dimensional models, semantic-layer metrics, and agentic context and tooling for consistent, reliable AI-assisted insights • Evolve data quality and data governance processes • Mentor and up-skill other engineers • Collaborate with data engineers, product engineers, product managers, data scientists, and operations specialists

🎯 Requirements

• 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 • Drive to learn new skills and dive into unfamiliar domains • 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 such as Databricks, Snowflake, or BigQuery • Proficiency in dbt • Experience with orchestration tools such as Airflow/Astronomer, Dagster, or similar • Experience with modern semantic layers such as LookML, Cube.dev, Databricks Metrics Views, or dbt MetricFlow • Experience designing and optimizing pipelines of billion+ row datasets • Experience working with and extending AI models to produce high quality code and reliable analytics

🏖️ Benefits

• Comprehensive 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 • Meaningful equity for U.S. employees • 401(k) program with a generous company match • Home office stipend • Coworking Wallets for flexible workspace access • Annual professional development budget • Monthly Betterment wellness/lifestyle stipend • Monthly telecommunications stipend • Flexible paid time off