Lead Data Engineer (Business Financing)
Summary
Lead a small team of Data Engineers to build scalable data pipelines and products on Snowflake, using dbt, Dagster/Airflow, and AI-assisted tools for a U.S. fintech client's data platform.
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.