StaffSoftwareEngineer,Data

About Slickdeals: We believe shopping should feel like winning. That’s why 10 million people come to Slickdeals to swap tips, upvote the best finds, and share the thrill of a great deal. Together, our community has saved more than $10 billion over the past 26 years. We’re profitable, passionate, and in the middle of an exciting evolution—transforming from the internet’s most trusted deal forum into the go-to daily shopping destination. If you thrive in a fast-moving, creative environment where ideas turn into impact fast, you’ll fit right in. The Purpose: Slickdeals is seeking a Staff Software Engineer with deep expertise in Big Data platforms/systems to lead and evolve our data engineering ecosystem. This role goes beyond pipeline maintenance; it’s about architecting scalable, resilient platforms that power analytics, experimentation, and machine learning across the business. You’ll inherit a mature platform built over 3+ years, spanning Databricks, dbt, Airflow, AWS, Tableau, and AtScale, and drive its next phase of growth. As a technical leader, you’ll shape architecture, mentor engineers, and ensure our data infrastructure supports analytics, experimentation, and business enablement at scale. What You'll Do: Architect, evolve, and maintain core ETL/ELT pipelines using dbt, Airflow, and Databricks Design and optimize semantic models in AtScale to support BI tools like Tableau Lead cross-functional collaboration with Analytics, Product, and Engineering to deliver reliable, timely data Own observability, performance, and reliability of data workflows across environments Guide infrastructure decisions in AWS (S3, Kafka, EC2, Lambda, IAM), balancing scalability and cost Drive cost optimization and platform hygiene across data storage, compute, and tooling Champion CI/CD practices and automated testing for data pipelines and infrastructure-as-code Uphold engineering rigor through SDLC best practices, including version control, peer reviews, and reproducible builds Lea