consumeredge · United States
Skills: Python, SQL
Location: Remote (United States) ; requires ability to work east coast hours About Consumer Edge Join a dynamic team that's redefining consumer data analytics. Consumer Edge (“CE”) is a leading data and insights-as-a-service (IaaS) company specializing in the global consumer, B2B, and healthcare economies. CE delivers real-time, transaction-based intelligence enriched by deep industry expertise. Its solutions equip corporate and investment leaders with best-in-class tools for strategic decision-making, offering granular insights and benchmarking across products, brands, sub-industries, and industries. CE’s unique capabilities turn complex data into clear, actionable insights that drive smarter, faster decisions. About the role We’re hiring a Staff Data Engineer to set the technical direction for identity and audience data in our data products. You’ll design how our data connects across sources and partners, and build the pipelines our data products depend on, working with data science, product, and fellow engineers. What you’ll do Own identity data. Design identity data models and matching logic, and keep them accurate, auditable, and current. Build partner data mappings. Build and maintain identifier mappings with external partners, and report match quality and coverage. Build data pipelines. Build and run the production pipelines behind our data products. Build privacy in. Build consent, opt-out, deletion, and access controls into identity data, working with legal and security. Set the quality bar. Create data quality frameworks, monitoring, and anomaly detection for pipelines that carry billions of rows. Set technical direction. Lead design reviews and build-versus-buy decisions, and mentor data engineers through design and code reviews. Lead how the team builds with AI. Work AI-first every day, and build the agent harnesses, shared skills, and guardrails that make AI-generated work safe to ship. What you’ll bring 8+ years in data engineering or backend data syst…
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