Locations

• Bulgaria
• Georgia
• Lithuania
• Mexico
• Moldova
• Poland
• Ukraine

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.

Compensation

Compensation may vary depending on the hiring location and relevant experience. Compensation for other hiring locations will be discussed during the recruitment process.