Senior Data Engineer

Above Lending, Inc.

Chicago (IL)

Hybrid

USD 110,000 - 150,000

Full time

14 days+

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Job summary

Above Lending, Inc. in Chicago is seeking a Senior Data Engineer to own and build end-to-end data pipelines, working directly with raw data and maintaining data models and quality. The role is hybrid, based in Chicago, IL, with a strong emphasis on Snowflake, Airflow, Fivetran, and DBT, plus deep SQL and Python capabilities.

You will tackle ambiguous data problems, ensure scalable solutions, and collaborate across fintech data ecosystems to unlock reliable insights for the business.

Qualifications

  • 5+ years of hands-on data engineering experience, including admin/support.
  • Fintech or data-intensive environments preferred.
  • Expert-level SQL: joins, window functions, performance trade-offs.
  • Experience building data models and marts from raw data.
  • Solid Python skills for data engineering tasks.
  • Hands-on with Snowflake, Airflow, Fivetran, and DBT.
  • High bar for data quality; validation before use.
  • Ability to work independently in ambiguous problems.

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 fix in base/staging layers.
  • Design simple, scalable data models trusted by the business.
  • Write advanced, high-performance SQL.
  • Understand execution plans, indexing, clustering, and storage behavior.
  • Debug data issues across systems and trace problems.
  • Use Python for ETL automation and scripting.
  • Build and enforce data quality checks to prevent bad data.
  • Monitor pipelines proactively and resolve issues.

Skills

5+ years data engineering
SQL
Python
Snowflake
Airflow
Fivetran
DBT

Tools

Snowflake
Airflow
Fivetran
DBT

Job description

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.
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.

$110,000 - $150,000 a year

This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role. The compensation range is based on the level outlined in the job posting, and compensation decisions are dependent on each applicant's experience, skills and abilities.

Join our dynamic team and contribute to Above Lending’s success as we continue to provide innovative lending solutions to our customers.

Under the California Consumer Privacy Act ("CCPA"), Above Lending is informing California residents who are our job applicants, contractors or prospective employees (together "job applicants") about the categories of personal information we collect about you and the purposes for which we will use this information. This notice and our Privacy Policy contain important information relating to the CCPA and apply only to personal information that is subject to the CCPA. Please see our website for the full CCPA statement.

*Above Lending is an equal opportunity Employer*

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