Lead Data Engineer - Retail Media Network

Remote • Posted 40 minutes ago • Updated 40 minutes ago
Contract W2
Remote
Depends on Experience
Fitment

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Job Details

Skills

Summary

Lead Data Engineer – Retail Media Network (Snowflake)

Job Order: 250473
Employment Type: Contract-to-hire
Location: Remote (United States)

Overview

Help power a fast-growing Retail Media Network by building the data foundation that fuels smarter advertising and customer insights. As a Lead Data Engineer, you’ll design and optimize analytics-focused data architectures in Snowflake, enabling reliable, high-performance datasets for BI and data science teams across retail advertising and customer data ecosystems. You’ll own key technical decisions, drive best practices, and lead the evolution of scalable pipelines and models that support both batch and real-time (or near real-time) use cases.

Required Skills

  • 6+ years of data engineering experience, including lead-level ownership of delivery and architecture decisions
  • Strong, hands-on expertise with Snowflake (required), including:
    • SnowpipeStreamsTasks
  • Advanced SQL and data transformation expertise
  • Python (preferred, especially for Snowpark)
  • Proven experience building analytics-focused data warehouses
  • Strong understanding of:
    • Dimensional modeling (Star Schema, Snowflake Schema; facts & dimensions)
    • Data warehousing architecture
    • Data quality and governance practices
    • Entity relationships and schema design
    • OLTP vs. OLAP concepts and analytical data lifecycle
    • Medallion architecture concepts

Nice to Have Skills

  • Experience with integration/orchestration tools such as dbtAirflow, and Fivetran
  • Background in Retail or Retail Media Network environments
  • Familiarity with:
    • Customer data platforms (CDPs)
    • Advertising / attribution datasets
  • Experience supporting analytics and BI use cases at scale
  • Exposure to AI/ML data pipelines and building AI-ready datasets

Preferred Education and Experience

  • Preferred experience: 6+ years in data engineering with demonstrated ownership of end-to-end warehouse/pipeline architecture and delivery in analytics-heavy environments
  • Education: Not specified in the provided job details

Work Authorization

Candidates must be authorized to work in the United States.

Additional Details

  • Travel: Not specified in the provided job details
  • Certifications: Not specified in the provided job details

How to apply: Not specified in the provided job details.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10286200
  • Position Id: 250473
  • Posted 40 minutes ago
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Alex DiGioia

Recruiter @ The Intersect Group
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