Staff Software Engineer – DC Tech Lead

Job not on LinkedIn

🔥 0 minutes ago

🏈 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

💵 $168k - $273k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Afresh

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🤖 Artificial Intelligence

🛍️ eCommerce

☁️ SaaS

Artificial Intelligence • eCommerce • SaaS

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

• Design, build, and optimize robust ETLs using PySpark and DBT to process large-scale customer datasets. • 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. • 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.

🎯 Requirements

• 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 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.

🏖️ 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. • 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. • Every employee receives an 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.