Sr. Data Engineer

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Chicago, IL / $120000 - $150000 annum

INFO

Salary
SALARY:

$120000 - $150000

Location

LOCATION

Chicago, IL

Job Type
JOB TYPE

Permanent

Senior Data Engineer

Location: Chicago, IL (Hybrid)

Pay: $120k - $150k base + bonus

About the Company

We are partnered with a growth-stage fintech company building transparent, borrower-friendly financial products. The team is simplifying access to credit through data-driven decision-making, modern infrastructure, and a strong emphasis on customer outcomes. You will join a small, collaborative, and impact-oriented department.

Responsibilities

  • Design, build, and maintain scalable data pipelines and infrastructure using Snowflake, Airflow, Fivetran, and dbt
  • Develop and optimize SQL- and Python-based workflows for data ingestion, transformation, and automation
  • Partner with business stakeholders to design and maintain reliable data marts, addressing data quality gaps and inconsistencies
  • Implement robust testing and validation frameworks, particularly within dbt models, to ensure end-to-end data reliability
  • Apply data platform reliability best practices, including monitoring and alerting (e.g., Datadog) for ETL workflows
  • Collaborate cross-functionally to translate business needs into scalable data solutions
  • Own projects end to end while contributing effectively within a collaborative team environment

Qualifications

  • 3 - 5 years of experience in data engineering or analytics engineering roles (fintech or regulated environments preferred)
  • Bachelor's degree in a relevant field or equivalent practical experience
  • Strong proficiency in SQL
  • Hands-on experience with Python, Snowflake, Airflow, Fivetran, and dbt
  • Solid understanding of data modeling, version control (Git), and CI/CD workflows
  • Experience operating data platforms in cloud environments, preferably AWS
  • Strong communication skills, business intuition, and the ability to troubleshoot complex data issues

CONTACT

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