Senior Data Engineer

Spoiler Alert

Completely RemoteFull TimeInformation Technology
Posted Yesterday

Job description

About the Company

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 into hundreds of value channel retailers and wholesalers.

Responsibilities

  • Architect, build, and maintain the infrastructure that moves and transforms marketplace data
  • Own the analytical schema in the data warehouse for internal and customer-facing reporting
  • Design and enforce data quality standards, monitoring, and testing
  • Make intentional architectural decisions for data infrastructure and AI/ML applications
  • Contribute exemplary code in pipeline logic, SQL, and data modeling
  • Lead technical projects from design to production and iteration
  • Partner with Product, Data, and Engineering teams to support decision making

Requirements

  • 5–8+ years of data engineering experience
  • Expertise in modern data stack (Estuary, Airflow, dbt, Holistics)
  • Strong SQL and data modeling foundations
  • Experience owning data quality, testing, and observability
  • Ability to integrate AI into development workflows
  • Proven ability to take end-to-end accountability for systems
  • Strong cross-functional collaboration skills

Preferred Qualifications

  • Experience with marketplace or transaction-platform data
  • Applied AI/ML pipeline work
  • Customer-facing analytics products
  • CPG or food and beverage domain knowledge
  • Experience integrating LLM tooling into data workflows

Benefits

  • Remote-first environment
  • Competitive salary and stock option packages
  • Subsidized health, dental, and vision insurance
  • 401(k) and Roth 401(k) options
  • 12-16 weeks of paid parental leave
  • 20 vacation days and 10 sick days per year
  • Focus Fridays and Summer Fridays
  • Annual flex funds for remote work and development

Skills & tools

SQLDBTAirflow

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015-8+ years data engineering experience
  2. 02Modern data stack expertise
  3. 03Strong SQL and data modeling
  4. 04Data quality and observability experience
  5. 05AI-native development workflow
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