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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.