Senior Software Developer - H&L

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 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. Interest in or exposure to cybersecurity principles as they relate to data infrastructure (e.g., encryption at rest/in transit, access controls, secure data pipelines). Desired Candidate Profile 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 nontechnical 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 skills in AI development with top LLMs.