January

Senior Data Engineer

New York City · Senior · Part-time

Sponsorship not specified$30k-$40kDetected 274 days ago

SQLBigQuerySnowflakeRedshiftCI/CDMachine LearningSparkdbtData EngineeringLeadership

About the role

As January's founding Senior Data Engineer, you'll transform how we leverage data to expand access to credit - not by fixing what's broken, but by unlocking what's possible.
You'll take full ownership of our modern data stack, evolving it from a capable system maintained part-time by analysts and engineers into a world-class platform that anticipates and enables our most ambitious data initiatives.
By establishing data engineering as a core discipline at January, you'll free our analysts to focus on insights while you architect the scalable foundation that powers our next phase of growth.

Own and optimize our entire data platform - taking our Snowflake warehouse from analyst-maintained to engineer-optimized while standardizing data models for customer reporting, operational dashboards, and ML features
Build self-healing data pipelines - designing ETL processes that scale automatically with volume, implementing monitoring that catches issues before anyone notices, and optimizing costs without sacrificing performance
Institute modern data practices - implementing testing frameworks, building CI/CD pipelines for infrastructure changes, and creating documentation that enables others to extend your work
Analytics Enablement: Create semantic layers that enable technical and non-technical users alike to easily extract value from rich user data
Proven ability to build and maintain ETL/ELT pipelines at scale using modern orchestration tools
Experience as a sole or lead data engineer, owning infrastructure end-to-end without a large team
Ownership mentality - you build your own roadmap and drive initiatives without waiting for permission

5+ years in data engineering or analytics engineering with progressive technical responsibility
Deep expertise with modern data warehouses (Snowflake, BigQuery, or Redshift) including performance tuning and cost optimization
Advanced SQL skills - you can write elegant queries and debug why that 45-minute monster is destroying our compute budget
Production experience with dbt or similar transformation tools, including testing and documentation best practices
Track record of designing data models that balance analytical flexibility with performance at scale
Experience implementing data quality frameworks and proactive monitoring systems
Experience with streaming architectures and real-time analytics
Familiarity with ML infrastructure and feature stores
Knowledge of financial data privacy regulations and compliance

expand access to credit while empowering consumers to achieve lasting stability and control of their financial lives.
We began by building the foundation for creditors to engage with and support their borrowers at scale across the entire debt lifecycle.
We've mastered outsourced collections by combining best-in-class performance with differentiated consumer satisfaction and superior compliance.
And we're just getting started.
Together, we're creating a financial system where trust and opportunity spark lasting change in people's lives.
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.

This listing is sourced directly from January's careers page and normalized into a canonical job model.