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.
