Data Engineer (Business Financing)

<h2 class="vacancy-row__title">Company Background</h2> <p>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.</p> <h2 class="vacancy-row__title">Project Description</h2> <p>The project focuses on transforming and expanding an enterprise data platform. The Data Engineer will help build and scale a Snowflake-based platform and migrate existing Alteryx workflows into governed, production-ready data products. The initial phase focuses on Treasury and Finance, with additional business domains expected to follow.</p> <h2 class="vacancy-row__title">Technologies</h2> <ul class="badges"> <li>Snowflake</li> <li>dbt</li> <li>Fivetran</li> <li>Dagster/Airflow</li> <li>MetricFlow</li> <li>SQL and Data Modeling</li> <li>Cursor and LLM-based Development Tools</li> <li>Data Quality and Monitoring Tools</li> </ul> <h2 class="vacancy-row__title">What You'll Do</h2> <ul> <li>Build and maintain data pipelines and data products in Snowflake;</li> <li>Develop data transformation logic using dbt;</li> <li>Support the migration of existing Alteryx workflows to the new data platform;</li> <li>Build and maintain orchestration workflows using Dagster or Airflow;</li> <li>Validate data outputs and investigate discrepancies;</li> <li>Troubleshoot issues related to business logic and data transformations;</li> <li>Implement data quality checks and monitoring;</li> <li>Collaborate closely with Data Engineering, BI, and Data Governance teams;</li> <li>Participate in technical design discussions;</li> <li>Use Cursor and LLM-based tools in the day-to-day engineering workflow;</li> </ul> <h2 class="vacancy-row__title">Job Requirements</h2> <ul> <li>4+ years of experience as a Data Engineer, with strong hands-on experience with Snowflake;</li> <li>Practical experience with dbt;</li> <li>Experience with Dagster, Airflow, or comparable orchestration tools;</li> <li>Strong SQL and data modeling skills;</li> <li>Understanding of data quality and monitoring practices;</li> <li>Experience building and maintaining production data pipelines;</li> <li>Experience with AI-assisted development using Cursor or similar tools;</li> <li>English proficiency at B2 level or higher;</li> <li>Snowflake certification would be a plus;</li> <li>Availability for substantial overlap with US Central Time, especially from 2:00 PM CST onward, is a plus;</li> </ul> <h2 class="vacancy-row__title">What Do We Offer</h2> <p>The global benefits package includes:</p> <ul> <li>Technical and non-technical training for professional and personal growth;</li> <li>Internal conferences and meetups to learn from industry experts;</li> <li>Support and mentorship from an experienced employee to help you professional grow and development;</li> <li>Health insurance;</li> <li>Sports activities to promote a healthy lifestyle;</li> <li>Flexible work options, including remote and hybrid opportunities;</li> <li>Referral program for bringing in new talent;</li> <li>Work anniversary program and additional vacation days.</li> </ul>