Sr. Data Engineer

INFO SALARY

$120000 - $140000 LOCATION Chicago

JOB TYPE

Permanent Senior Data Engineer Location:

Chicago, IL (Hybrid)

Pay:

$120k - $140k 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 Bekim Doçaj Principal Recruitment Consultant