Senior Data Engineer

🕒 October 15

🇺🇸 United States – Remote

💵 $140k - $175k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Spoiler Alert

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

🍽️ Food & Beverage

📦 Logistics

💼 Consulting

💰 $11M Series A - Spoiler Alert on 2021-12

Food & Beverage • Logistics • Consulting

Spoiler Alert is a B2B SaaS platform that helps manufacturers, wholesalers, retailers, and CPG brands manage, sell, and donate surplus or closeout inventory. Its software automates listings, pricing, logistics, and buyer matching to move excess goods into secondary markets and donation channels, recovering margin, speeding time-to-market, and reducing waste. The company focuses on fast-moving consumer goods (food & beverage, beauty, household, pet, etc. ) and provides analytics and optimization to continuously improve liquidation and redistribution outcomes.

📋 Description

• Architect, build, and maintain infrastructure that moves and transforms marketplace data reliably and at scale • Own the analytical schema in the data warehouse for internal analytics, aggregate analytics, and customer-facing reporting • Design and enforce data quality standards, monitoring, and testing across the stack • Make architectural decisions, document tradeoffs, and build data infrastructure supporting AI/ML product applications • Contribute code in pipeline logic, SQL, and data modeling • Conduct code reviews and evolve engineering patterns and practices • Debug and resolve data issues and drive root-cause prevention work • Contribute to shared support responsibilities and reliability across the data platform • Own data systems and roadmap themes from design through production and iteration • Partner with Product, Data, and Engineering teams to support reliable decision-making • Identify and advocate for data infrastructure investments • Contribute to architecture discussions and Engineering reflection

🎯 Requirements

• 5–8+ years of data engineering experience, ideally at a B2B SaaS, marketplace, or data products company • Deep hands-on expertise across the modern data stack, including pipeline tooling (Estuary), workflow orchestration (Astronomer Airflow), transformations (dbt), and BI tools with semantic layers (Holistics) • Strong SQL and data modeling foundations • Experience owning data quality end-to-end, including testing and observability frameworks, infrastructure, and tools • Productively integrate AI into development workflows • Proven ability to take accountability for systems and themes, not just individual tasks or projects • Ability to collaborate cross-functionally with data analysts, product engineers, and non-technical stakeholders • Experience differentiators include marketplace or transaction-platform data, applied AI/ML pipeline work, customer-facing analytics products, food and beverage or CPG domain knowledge, and integrating LLM tooling into data workflows • Candidates should be authorized to work in the United States • Visa sponsorship is unavailable • Final-round candidates will complete a background check

🏖️ Benefits

• Remote-first environment, with co-working access for locals in BOS, NYC, & DEN • Competitive salary and stock option packages • Subsidized health, dental, and vision insurance plans • Climate-focused, pre-tax 401(k) and post-tax Roth 401(k) options • 12-16 weeks of paid parental leave + flex return to work • 15+ company holidays, including an "End of Year Reset Week" • 20 vacation days and 10 sick days per year • Focus Fridays (no meetings after 1PM local) • Summer Fridays (1/2 day) • Paid volunteer outings and civic engagement leave • Annual flex funds for remote work needs, learning & development, and socializing with colleagues • Company-sponsored $500 FSA contribution

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