Senior Data Engineer

About the Company

At January, we're fixing what's broken in credit. Our data-driven platform rebuilds trust, delivers results, and helps millions move toward brighter financial futures while bringing humanity to consumer finance.

Responsibilities

• Own and optimize the entire data platform, evolving the Snowflake warehouse from analyst-maintained to engineer-optimized
• Build self-healing ETL/ELT data pipelines that scale automatically and include proactive monitoring
• Democratize data access by creating intuitive models for PMs, analysts, and operations teams
• Bridge engineering and analytics by establishing feedback loops and ensuring schema changes do not break downstream dependencies
• Institute modern data practices including testing frameworks, CI/CD pipelines, and documentation
• Drive strategic infrastructure decisions and identify new tools to unlock capabilities

Requirements

• 5+ years in data engineering or analytics engineering
• Deep expertise with modern data warehouses like Snowflake, BigQuery, or Redshift
• Advanced SQL skills for complex querying and debugging
• Production experience with dbt or similar transformation tools
• Proven ability to build and maintain ETL/ELT pipelines at scale using orchestration tools
• Experience as a sole or lead data engineer owning infrastructure end-to-end
• Track record of designing scalable data models and reducing infrastructure costs

Preferred Qualifications

• Experience with streaming architectures and real-time analytics
• Familiarity with ML infrastructure and feature stores
• Knowledge of financial data privacy regulations and compliance
• Previous startup or high-growth company experience