Senior Data Engineer - Build Scalable Fintech Pipelines

Above Lending; Chicago (IL); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Above Lending in Chicago seeks a Senior Data Engineer who acts like an owner, writing SQL, building pipelines, and turning raw data into reliable, scalable solutions. This is a deeply hands-on role focused on data quality and practical results.

In this role you’ll work with Snowflake, Airflow, Fivetran, and DBT, plus Python for ETL. You’ll tackle messy source data, design data models, and deliver robust data products with autonomy. Hybrid, on-site in Chicago.

Qualifications

• 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.

Responsibilities

• 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.

Skills

5+ years data engineering

Expert-level SQL

Python

Tools

Snowflake

Airflow

Fivetran

DBT

Job description

Above Lending in Chicago seeks a Senior Data Engineer who acts like an owner, writing SQL, building pipelines, and turning raw data into reliable, scalable solutions. This is a deeply hands-on role focused on data quality and practical results.

In this role you’ll work with Snowflake, Airflow, Fivetran, and DBT, plus Python for ETL. You’ll tackle messy source data, design data models, and deliver robust data products with autonomy. Hybrid, on-site in Chicago.