Senior Data Engineer

Team: Technology

Location: Chicago, IL

Commitment: Full-Time

Workplace Type: hybrid

Salary:

Above Lending is a next-generation financial services company helping everyday Americans break the cycle of high-cost debt and move toward a stronger financial future. Through customized lending solutions, competitive rates, and personalized support, our mission is to simplify the lending process and help our clients achieve financial well-being. We are committed to making credit more affordable and accessible; backed by a culture grounded in compliance and ethics, and technology built around the people we serve.

We are growing quickly, and we are looking for new collaborators to help us reach the next level. If you want to join a forward-thinking, rapidly growing organization where helping people is the number one goal, we want to hear from you.

What You'll Do

Build and own end-to-end data pipelines (ingestion → staging → marts) using Snowflake, Airflow, Fivetran, and DBT.
Work directly with raw data. Identify issues and implement fixes in base and staging layers before they propagate downstream.
Design data models that are simple, scalable, and trusted by the business.
Write advanced, high-performance SQL.
Understand the underlying database technology: execution plans, indexing, clustering, and storage behavior.
Debug data issues deeply, tracing problems across systems.
Use Python for ETL automation, scripting.
Build and enforce data quality checks that prevent bad data from reaching consumers.
Monitor pipelines proactively and resolve issues.

What You Bring

5+ years of hands-on data engineering experience - including administration or support. 
Fintech or similarly data-intensive environments preferred.
Expert-level SQL: joins, window functions, performance trade-offs.
Proven experience building data models and marts from raw, imperfect source data.
Solid Python skills applied to practical data engineering problems.
Hands-on experience with Snowflake, Airflow, Fivetran, and DBT.
A high bar for data quality - you don't trust a number until you've validated it.
The ability to operate independently, make decisions under ambiguity, and follow problems through to resolution.

What Sets You Apart

You've debugged data issues others couldn't explain.
You've worked with poorly documented or unreliable source systems and made them usable.
You've said "this number is wrong" - and proved it.
You care about correctness as much as performance.
You default to solving problems, not escalating them.