Top Benefits
About the role
About Valpay At Valpay, we're building the next generation of embedded payments. We help SaaS companies transform payments from a utility into a new line of revenue. Our PayFac-as-a-Service model delivers all the benefits of integrated payments while we handle the complexity. We've helped more than 3,000 merchants across 12 verticals in North America, Europe, and Australia. Our Growth Pods operate like mini-business units—each responsible for acquiring software partners, activating their merchants, and delivering sustained revenue growth. The Role As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and operational decision-making. You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization. This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex data challenges, and wants to have a direct impact on the growth of a rapidly scaling fintech company. What You'll Do Design, develop, and maintain scalable data pipelines and ETL/ELT processes. Build and optimize data models, warehouses, and data lakes to support business and product analytics. Partner with cross-functional stakeholders to understand data needs and deliver actionable solutions. Ensure data quality, integrity, governance, and observability across all systems. Improve the performance, reliability, and scalability of our data platform. Support real-time and batch data processing requirements. Develop and maintain documentation, standards, and best practices for data engineering. Collaborate with software engineers to integrate data solutions into customer-facing products and internal systems. What We're Looking For 5–8 years of experience in Data Engineering, Analytics Engineering, or a related field. Strong academic background in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. Experience designing and maintaining modern data architectures and large-scale data pipelines. Advanced SQL skills and strong proficiency in Python or another relevant programming language. Experience with cloud data platforms and modern data stack technologies. Strong understanding of data modeling, warehousing concepts, and distributed data systems. Proven ability to work cross-functionally and communicate technical concepts to non-technical stakeholders. Experience in payments, fintech, financial services, or transaction-heavy environments is strongly preferred. High attention to detail and a commitment to data quality and reliability. Strong knowledge of Snowflake, DBT, Airflow Strong knowledge and kills in AI development with top LLMs Nice to Have Experience working within embedded payments, PayFac, merchant acquiring, or payment processing environments. Experience with real-time streaming technologies and event-driven architectures. Familiarity with data governance, compliance, and security requirements in regulated industries. Experience building customer-facing data products or analytics platforms. Why Join Valpay? Build foundational data systems at one of the fastest-growing embedded payments companies. Work alongside entrepreneurial teams with significant ownership and autonomy. Influence key business decisions through data. Join a high-growth environment where your impact is visible and measurable. Competitive compensation, benefits, and opportunities for career growth.
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Top Benefits
About the role
About Valpay At Valpay, we're building the next generation of embedded payments. We help SaaS companies transform payments from a utility into a new line of revenue. Our PayFac-as-a-Service model delivers all the benefits of integrated payments while we handle the complexity. We've helped more than 3,000 merchants across 12 verticals in North America, Europe, and Australia. Our Growth Pods operate like mini-business units—each responsible for acquiring software partners, activating their merchants, and delivering sustained revenue growth. The Role As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and operational decision-making. You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization. This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex data challenges, and wants to have a direct impact on the growth of a rapidly scaling fintech company. What You'll Do Design, develop, and maintain scalable data pipelines and ETL/ELT processes. Build and optimize data models, warehouses, and data lakes to support business and product analytics. Partner with cross-functional stakeholders to understand data needs and deliver actionable solutions. Ensure data quality, integrity, governance, and observability across all systems. Improve the performance, reliability, and scalability of our data platform. Support real-time and batch data processing requirements. Develop and maintain documentation, standards, and best practices for data engineering. Collaborate with software engineers to integrate data solutions into customer-facing products and internal systems. What We're Looking For 5–8 years of experience in Data Engineering, Analytics Engineering, or a related field. Strong academic background in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. Experience designing and maintaining modern data architectures and large-scale data pipelines. Advanced SQL skills and strong proficiency in Python or another relevant programming language. Experience with cloud data platforms and modern data stack technologies. Strong understanding of data modeling, warehousing concepts, and distributed data systems. Proven ability to work cross-functionally and communicate technical concepts to non-technical stakeholders. Experience in payments, fintech, financial services, or transaction-heavy environments is strongly preferred. High attention to detail and a commitment to data quality and reliability. Strong knowledge of Snowflake, DBT, Airflow Strong knowledge and kills in AI development with top LLMs Nice to Have Experience working within embedded payments, PayFac, merchant acquiring, or payment processing environments. Experience with real-time streaming technologies and event-driven architectures. Familiarity with data governance, compliance, and security requirements in regulated industries. Experience building customer-facing data products or analytics platforms. Why Join Valpay? Build foundational data systems at one of the fastest-growing embedded payments companies. Work alongside entrepreneurial teams with significant ownership and autonomy. Influence key business decisions through data. Join a high-growth environment where your impact is visible and measurable. Competitive compensation, benefits, and opportunities for career growth.