Lead Data Engineer (Business Financing)

Expected, Snowflake, dbt, Microsoft Power BI

Operating system, Windows

About the project, 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., , 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

This is how we work, agile

Your responsibilities, 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;

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;

Optional, 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 we offer, 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.

This is how we work on a project, documentation, issue tracking tools, performance tests, testing environments

Development opportunities we offer, space for experimenting, substantive support from technological leaders, technical knowledge exchange within the company

Benefits, remote work opportunities

COHERENT SOLUTIONS sp. z o.o., Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 2000 talented professionals collaborates seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company’s core competencies across 10 locations worldwide include software product development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more., , We grow a team of advisors, not just order takers, and strive to make the company a place for career growth and opportunities. If you want to grow your core competencies, share your passion, and be sure every contribution is evaluated, we are on the same page.

This is how we work,