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Above Lending
Chicago, IL
Source: Above Lending careers · View original posting
From Above Lending's posting. “We” and “our” refer to the employer.
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.
We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems Engineer.
This is a deeply hands-on role. You'll spend the majority of your time writing SQL, building pipelines, and working directly with raw data. Beyond pure engineering, we expect some experience in database upkeep and maintenance, as well as the ability to analyze data - spotting patterns, questioning results, and understanding what the numbers actually mean. You'll take ambiguous problems, break them down, and deliver reliable, scalable solutions without step-by-step guidance.
Strong candidates will be comfortable with messy source data, incomplete documentation, and figuring things out. If you need heavy direction or clean inputs to do your best work, this role likely isn't the right fit.
This is a hybrid role based in Chicago, IL. We are not hiring remote candidates at this time.
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.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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