Senior Data Engineer

Above Lending

Senior Data Engineer developing end-to-end data pipelines for a fintech company. Building reliable data models and ensuring data quality using modern tools and databases.

Posted 7/27/2026full-timeChicago • Illinois • 🇺🇸 United StatesSenior💰 $110,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing end-to-end data pipelines using Snowflake, Airflow, Fivetran, and DBT, while ensuring high data quality and performance through advanced SQL and Python scripting.

Highest-signal resume keywords

Data Pipeline DevelopmentExpert-Level SQLPython for ETL AutomationSnowflake ExperienceData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSQLPythonData ModelingETL Automation

Soft Skills

Problem-SolvingIndependent Decision-Making

Tools & Technologies

SnowflakeAirflowFivetranDBT

Industry Keywords

FintechData-Intensive Environments

Tech Stack

Tools & technologies

AirflowETLPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role.