We’re hiring two Junior Data Engineers to join an Insights squad focused on modernizing and transforming a core Householding (HH) data ecosystem. This team is driving a multi‑year effort to retire legacy systems and deliver a modern, scalable, hybrid data product that supports evolving consumer needs. Householding is a foundational enterprise capability—critical for understanding customer relationships, improving segmentation, and accurately measuring growth. In this hands‑on role, you’ll gain high visibility and play a key part in delivering the next‑generation HH architecture. Responsibilities Run monthly Householding data product refreshes end‑to‑end using established playbooks and tooling Build a strong understanding of the HH data domain, business rules, and platform architecture Support pipeline modernization efforts and contribute to remediation activities (e.g., orphaned customer accounts) Apply SQL skills to validate, transform, and reconcile source‑to‑target data Gain hands‑on experience with Snowflake and dbt during refresh cycles and ongoing enhancements Gradually take on more complex data engineering tasks as you ramp up The Ideal Candidate Required Skills Strong SQL abilities, including comfort with complex queries Basic understanding of relational database concepts Experience cleaning, transforming, validating, and analyzing data Nice to Have Exposure to Snowflake Familiarity with dbt (data build tool) Experience with Python Basic understanding of data science workflows or concepts #J-18808-Ljbffr
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