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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:

• Resources and opportunities for self-education in technical and non-technical areas;
• Access to internal conferences and meetups for knowledge sharing and learning from industry experts;
• Medical 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.