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.