Job Details

WEX is an innovative global commerce platform and payments technology company seeking to lead in a rapidly evolving environment. Our goal is to simplify business processes for our customers, enabling them to focus more on what they love. We aim to create a consistent, world-class user experience across our products and leverage customer-focused innovations, including big data, AI, and risk management.

We are seeking a highly motivated Staff Engineer to join our Data team. This role offers the opportunity to make significant business impacts and advance your career.

This is an exciting time for our Data team at WEX as a technical leader. Our sophisticated business and products generate rich and complex data from various systems, which is a valuable asset. The Data team is responsible for building technologies, platforms, and tools to clean, process, enrich, and optimize this data, making it accessible and useful for internal teams and customers. We develop advanced data products and leverage cutting-edge technologies, including modern big data and AI solutions, within an agile development framework.

We face challenging problems with high business impact potential. Our team consists of talented engineers and leaders ready to support and guide you. If you aspire to be a strong engineer capable of solving tough problems, leading initiatives, and growing rapidly, this is a great opportunity.

How you'll make an impact

• Collaborate with stakeholders to understand customer challenges.
• Design, test, and implement complex data products, systems, and pipelines with high-quality solutions.
• Use data to measure, inspect, and inform decision-making.
• Develop and maintain CI/CD automation with tools like GitHub Actions.
• Implement Infrastructure as Code (IaC) using tools like Terraform for cloud-based infrastructure.
• Apply software development best practices, including TDD, BDD, microservices, and event-driven architectures.
• Support live data systems with proactive monitoring, ensuring high data quality and rapid incident response.
• Analyze systems independently to identify bottlenecks and improvement opportunities.
• Mentor peers and foster continuous learning within the team.
• Attract top talent, participate in interviews, and provide feedback.
• Model best practices, understand customer problems, and ensure solutions are effective and sustainable.
• Lead complex tasks and guide peers on technical discussions.
• Own large components or systems, ensuring high quality and performance.
• Participate in and lead technical discussions and reviews.
• Design and build reliable, scalable, and efficient big data platforms and tools.
• Develop data models and structures using data modeling techniques.
• Become a subject matter expert and apply creative problem-solving techniques.
• Leverage data and AI technologies to enhance productivity and solutions.
• Lead initiatives, make strategic decisions, and ensure team accountability through OKRs.
• Engage with senior management on plans and complex issues.

Experience you'll bring:

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
• Master's or PhD preferred, with 5+ years (Master's) or 7+ years (PhD) in software engineering, especially in data systems.
• Deep technical expertise, innovation, and leadership skills.
• Strong problem-solving, communication, and collaboration skills.
• Self-motivated with a passion for learning and adopting new technologies, including GenAI tools.
• Extensive experience designing simple, high-quality, efficient solutions for complex problems.
• Strong CI/CD and agile development experience.
• Proficiency in languages like Java, C#, Golang, Python, with skills in coding, testing, and monitoring.
• Experience with data processing, pipelines, SQL, and databases.
• Knowledge of cloud platforms such as AWS and Azure.
• Understanding of data warehousing, dimensional modeling, and data governance is a plus.

Preferred Qualifications:

• Experience building Data Lakes, Lakehouse architectures, and Data Warehouses.
• Proven ability in data pipeline development, SQL, and database management for scalable, efficient data flow.
• Expertise in data modeling for cloud-based Data Lakes, Lakehouses, and Warehouses.