Senior Data Engineer

Senior Data Engineer 📍 NYC (Hybrid) | 💰 $170–190K + Equity💡 Why this role stands outThis isn’t just another data role — you’ll be the first dedicated Data Engineer, owning and scaling the entire data platform at a profitable, high-growth fintech.🧠 What you’ll actually be doingOwn the end-to-end data stack (Snowflake + dbt + pipelines)Re-architect data models powering reporting, ops, and future MLBuild self-healing ETL pipelines with proactive monitoringCreate clean, intuitive data layers used across product, ops, and analyticsPartner with engineering to ensure high-quality data from source → insightIntroduce best practices across testing, CI/CD, and data quality⚙️ The fun technical bitsOptimising Snowflake for performance + 30–40% cost reductionFixing expensive queries (goodbye 45-min monsters 👋)Designing scalable, reusable data models (cut redundancy ~50%)Building monitoring that catches 99% of issues before users doLaying the groundwork for ML features + real-time data use casesChoosing tooling + shaping architecture as the founding hire🛠 TechSnowflake • dbt • Modern ELT stack • CI/CD • (Future: streaming, ML infra)🎯 What you need:5+ years in Data / Analytics EngineeringDeep experience with modern warehouses (Snowflake, BigQuery, Redshift)Strong SQL + performance tuning skillsExperience building scalable pipelines + data modelsSomeone comfortable with full ownership (this is a 0→1 role)🌍 Why joinReal-world impact: improving outcomes in consumer financeProfitable, scaling company → stability + upsideHigh ownership, low bureaucracyChance to build the data function from scratch