Senior Backend Engineer - Data Onboarding at Scotch

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Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

0.0

Posted On

26 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipeline, Automation, Process Optimization, Collaboration, Technical Execution, Organizational Rigor, Independence, Customer Empathy, Ruby On Rails, Postgres, Performance Optimization, Query Optimization, Data Transformation, Async Job Processing, Legacy Data Extraction

Industry

Description

Senior Software Engineer, Data @ Scotch About Us Scotch’s mission is to modernize one of the oldest industries on earth: the $1.6T beverage alcohol market. We’re starting by building the next-generation operating system for BevAlc retailers (POS, payments, Back Office, E-commerce). We are seeking a detail-oriented Senior Backend Engineer to join our data onboarding team. You will be a critical component of our team that builds out the tools and automations needed to onboard new retailers at scale. You’ll deliver key components and functionality needed to ensure data quality, accuracy and reliability while working with a variety of data structures and challenges. Key Responsibilities We’re a lean and efficient team but growing quickly, and this role is critical to the next phase of our business. Your core responsibilities include: Data Pipeline: You will help extract data from legacy POS systems, serving as the bridge between old technology and our modern platform. Automation: You will build tools to transform and validate data to ensure all fields meet requirements and accuracy standards before importing into Scotch Process Optimization: You will find ways through automation, AI, and other tools to streamline and optimize the onboarding process Collaboration: You will use your strong communication skills to work with our onboarding team to most efficiently bring on new customers What We Value For this engineering role, we specifically value: Technical Execution: A core strength in getting things done technically and effectively. Organizational Rigor: A high level of attention to detail and the ability to manage a pipeline of tasks simultaneously without dropping the ball. Independence: The ability to work autonomously to solve problems and move tasks forward. Customer Empathy: Our customers trust us to help manage their business, so we must do what we can to help them. Who You Are 5+ years of relevant professional experience in software development or data engineering (We use Ruby on Rails and Postgres as our backend tech stack) Hands-on experience with production application systems and data pipelines Expert knowledge of performance optimization techniques including query optimization, data transformation, and async job processing Demonstrated organizational rigor and attention to detail. Strong cross-functional collaborator across engineering, product, and operations teams. Clear communicator who drives alignment and moves projects forward quickly. Bonus Points Experience specifically in the POS or fintech industry. Experience in the alcohol industry Experience working with AI tools and incorporating them into workflows Proficiency as a full stack engineer or front end frameworks is a nice to have Familiarity with legacy data extraction and cleaning processes. Compensation & Benefits Competitive salary and equity Health, dental, and vision Company sponsored 401k Unlimited, flexible PTO Bi-Annual Company Offsites — company-paid trips to places like Jackson Hole, Park City, Lake Tahoe, and more to work alongside & bond with your colleagues. Equal Opportunity Employer We are an equal-opportunity employer. We don’t discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance. Questions When Applying What has you interested in this opportunity? Where are you currently located or will you be based if offered this position? What is your stance on AI productivity tools and AI workflows?

Responsibilities

The engineer will build tools and automations for data onboarding, focusing on extracting data from legacy POS systems and ensuring data quality, accuracy, and reliability at scale. Core tasks involve developing data pipelines, building validation tools, optimizing processes through automation and AI, and collaborating with the onboarding team.