Job description

About Spoiler Alert Spoiler Alert is a CPG and retail tech company on a mission to expand consumer access to affordable, everyday essentials by unlocking the value in surplus inventory. We've powered the sale of over $6 billion of inventory from leading CPG brands like Unilever, Kraft Heinz, and Mondelez into hundreds of value channel retailers and wholesalers - recovering value for brands, reducing waste, and creating savings for consumers. We're building the marketplace infrastructure to transform CPG surplus into opportunity for retailers to meet consumer demand at scale, and infusing AI-native products into a segment of the CPG supply chain that is ripe for improvement. Role We're hiring a Senior Data Engineer to build and own the data infrastructure that powers Spoiler Alert's next chapter. Our platform generates unique data across every supplier and buyer transaction, and how well we move, model, and make that data accessible determines our company’s ability to produce results for our industry. Decision intelligence, AI-powered pricing recommendations, demand matching, customer-facing analytics will all run on the foundation this role helps build. This is a hands-on technical leadership role for someone who takes ownership of systems end-to-end and sets the bar for the team around them. You'll work at the intersection of data, product, and platform engineering, partnering closely with Data and Product teams to make our data reliable, accessible, and useful for internal decisions and for our customers. You'll bring strong opinions about what good data infrastructure looks like, use AI tools appropriately as a genuine part of how you work, and help establish what that looks like for the team. This role partners closely with the Data and Product teams. Responsibilities Build & own the data platform Architect, build, and maintain the infrastructure that moves and transforms Spoiler Alert's marketplace data reliably and at scale, effectively incorporating AI coding tools to build with quality and velocity Own the analytical schema in our data warehouse that serves internal analytics, aggregate analytics, and customer-facing reporting in our data tools, ensuring accuracy, consistency, and documentation Design and enforce data quality standards across the stack, defining what trusted data means at Spoiler Alert and developing the monitoring and testing that upholds it Make intentional architectural decisions with the appropriate level of abstraction, documenting decisions and tradeoffs so the team can build confidently on your work, including data infrastructure for effective product applications of AI/ML Raise the bar for engineering quality Contribute exemplary code in pipeline logic, SQL, and data modeling that other engineers learn from and build on Share meaningful code reviews that evolve our team's patterns and practices Debug and resolve data issues quickly, and drive root cause work that prevents them from recurring Contribute to shared support responsibilities and help build a culture of reliability across the data platform Lead technically across the team Take end-to-end accountability for data systems and roadmap themes, owning projects through from design to production to iteration, communicating tradeoffs and risks along the way Partner with Product, Data, and Engineering teammates to ensure our pipelines, models, and tooling support reliable internal and external decision making using our data Identify opportunities where better data infrastructure creates leverage for Product, Data, Engineering, and Operations teams, and advocate for those investments with clarity Contribute meaningfully to architecture conversations and Engineering reflection, shaping technical decisions with your expertise Qualifications 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 (we use Estuary), workflow orchestration (we use Astronomer Airflow), transformations (we use dbt), and BI tools with semantic layers (we use Holistics) Strong SQL and data modeling foundations for clean, well-structured models that others can build on and maintain Experience owning data quality end-to-end, including testing and observability frameworks infrastructure and tools with a genuine bias for reliability AI-native chops: you productively integrate AI into your development workflows to build with curiosity and strong opinions loosely held Proven ability to take accountability for systems and themes, not just individual tasks or projects. You see the work through and communicate clearly along the way. Ability to collaborate cross functionally with data analysts, product engineers, and non-technical stakeholders, bringing clarity to ambiguity Experience differentiators: marketplace or transaction-platform data, applied AI/ML pipeline work, customer-facing analytics products, food and beverage or CPG domain knowledge, experience integrating LLM tooling into data workflows Application Integrity & Fraud Prevention Spoiler Alert uses fraud detection tools in our applicant tracking system to protect candidates and our hiring process from fraudulent applications, such as impersonation, falsified identities, or automated submissions. These tools may review information you submit (like contact details, resume content, and application activity such as IP address and device or browser data) to flag possible fraud. Flagged applications are reviewed by a member of our team. No candidate is rejected solely on the basis of an automated fraud flag. If we need to confirm your identity, we may ask you to verify it at a later stage of the process. Candidates who make it to the final round will complete a background check. Benefits Spoiler Alert is committed to providing equal employment opportunities for all applicants and employees. Employee benefits include the following: 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 The salary range for this role is $140,000 - $175,000, determined by level of experience and expertise - not a negotiation range. We are a diverse team committed to a safe and inclusive work environment, free of discrimination based on race, color, religion, sex, gender identity or expression, sexual orientation, genetics, national origin, ancestry, age, medical condition, mental or physical disability, handicap or veteran status, or marital status. Please note that applicants should be authorized to work in the United States. Though we are interested in every qualified candidate, we are unable to offer visa sponsorship at this time.

Requirements

Must-haves

Build & own the data platform
Architect, build, and maintain the infrastructure that moves and transforms Spoiler Alert's marketplace data reliably and at scale, effectively incorporating AI coding tools to build with quality and velocity
Own the analytical schema in our data warehouse that serves internal analytics, aggregate analytics, and customer-facing reporting in our data tools, ensuring accuracy, consistency, and documentation
Design and enforce data quality standards across the stack, defining what trusted data means at Spoiler Alert and developing the monitoring and testing that upholds it
Raise the bar for engineering quality
Contribute exemplary code in pipeline logic, SQL, and data modeling that other engineers learn from and build on
Share meaningful code reviews that evolve our team's patterns and practices
Debug and resolve data issues quickly, and drive root cause work that prevents them from recurring
Contribute to shared support responsibilities and help build a culture of reliability across the data platform
Lead technically across the team
Take end-to-end accountability for data systems and roadmap themes, owning projects through from design to production to iteration, communicating tradeoffs and risks along the way
Partner with Product, Data, and Engineering teammates to ensure our pipelines, models, and tooling support reliable internal and external decision making using our data
Identify opportunities where better data infrastructure creates leverage for Product, Data, Engineering, and Operations teams, and advocate for those investments with clarity
Contribute meaningfully to architecture conversations and Engineering reflection, shaping technical decisions with your expertise
5–8+ years of data engineering experience, ideally at a B2B SaaS, marketplace, or data products company
Strong SQL and data modeling foundations for clean, well-structured models that others can build on and maintain
Experience owning data quality end-to-end, including testing and observability frameworks infrastructure and tools with a genuine bias for reliability
AI-native chops: you productively integrate AI into your development workflows to build with curiosity and strong opinions loosely held
Proven ability to take accountability for systems and themes, not just individual tasks or projects. You see the work through and communicate clearly along the way.
Ability to collaborate cross functionally with data analysts, product engineers, and non-technical stakeholders, bringing clarity to ambiguity
Application Integrity & Fraud Prevention

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlsqlllm

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave