Lead Data Engineer (Business Financing)

Company Background

Our client is a U.S.-based fintech company providing financing solutions to small and medium-sized businesses. Founded in 2006, the company operates as both a direct lender and a financing marketplace, having deployed more than $10 billion in growth capital to support over 65,000 businesses across the United States. Its technology- and data-driven solutions help business owners access funding quickly and efficiently.

Project Description

The project focuses on transforming and scaling a modern data platform. The team is building a Snowflake-based data platform and converting existing Alteryx workflows into governed, production-ready data products. The initial phase is focused on Treasury and Finance, with additional business domains planned for future phases.

Technologies

Snowflake

dbt

Fivetran

Dagster/Airflow

MetricFlow

SQL and Data Modeling

Cursor and LLM-based Development Tools

Data Quality and Monitoring Tools

What You'll Do

Provide technical leadership to a small team of Data Engineers;

Support the implementation of the target data architecture;

Design and build scalable data pipelines and data products on Snowflake;

Develop and maintain dbt models and transformation workflows;

Use Dagster or Airflow to orchestrate data workflows;

Review technical designs and contribute to engineering decisions;

Collaborate with BI teams to understand and migrate existing Alteryx business logic;

Partner with Data Governance teams on data quality, business definitions, and critical data elements;

Validate outputs, investigate data issues, and troubleshoot complex logic gaps;

Mentor engineers and help establish strong engineering practices;

Leverage AI-assisted development tools, such as Cursor and LLMs, to improve engineering productivity;

Job Requirements

5+ years of experience as a Data Engineer;

Strong hands-on experience with Snowflake;

Advanced hands-on experience with dbt;

Experience with Dagster, Airflow, or similar orchestration platforms;

Strong background in modern data architecture and data engineering;

Experience with data quality, monitoring, and observability;

Ability to lead technical discussions and mentor engineers;

Experience collaborating across Engineering, BI, and Data Governance teams;

Comfortable using AI-assisted software development tools;

English proficiency at B2 level or higher;

Snowflake certification is preferred;

Availability to maximize overlap with U.S. Central Time working hours, especially from 2:00 p.m. CT onward, is a strong plus;

What Do We Offer

The global benefits package includes

Technical and non-technical training for professional and personal growth;

Internal conferences and meetups to learn from industry experts;

Support and mentorship from an experienced employee to help you professional grow and development;

Health insurance;

Sports activities to promote a healthy lifestyle;

Flexible work options, including remote and hybrid opportunities;

Referral program for bringing in new talent;

Work anniversary program and additional vacation days.