Lead 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 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.</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>Provide technical leadership to a small team of Data Engineers;</li> <li>Support the implementation of the target data architecture;</li> <li>Design and build scalable data pipelines and data products on Snowflake;</li> <li>Develop and maintain dbt models and transformation workflows;</li> <li>Use Dagster or Airflow to orchestrate data workflows;</li> <li>Review technical designs and contribute to engineering decisions;</li> <li>Collaborate with BI teams to understand and migrate existing Alteryx business logic;</li> <li>Partner with Data Governance teams on data quality, business definitions, and critical data elements;</li> <li>Validate outputs, investigate data issues, and troubleshoot complex logic gaps;</li> <li>Mentor engineers and help establish strong engineering practices;</li> <li>Leverage AI-assisted development tools, such as Cursor and LLMs, to improve engineering productivity;</li> </ul> <h2 class="vacancy-row__title">Job Requirements</h2> <ul> <li>5+ years of experience as a Data Engineer;</li> <li>Strong hands-on experience with Snowflake;</li> <li>Advanced hands-on experience with dbt;</li> <li>Experience with Dagster, Airflow, or similar orchestration platforms;</li> <li>Strong background in modern data architecture and data engineering;</li> <li>Experience with data quality, monitoring, and observability;</li> <li>Ability to lead technical discussions and mentor engineers;</li> <li>Experience collaborating across Engineering, BI, and Data Governance teams;</li> <li>Comfortable using AI-assisted software development tools;</li> <li>English proficiency at B2 level or higher;</li> <li>Snowflake certification is preferred;</li> <li>Availability to maximize overlap with U.S. Central Time working hours, especially from 2:00 p.m. CT onward, is a strong 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>