Staff Software Engineer, Data - Level 4

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; and San Francisco Bay Area, CA. ​

About the Team/Role

We are looking for a highly motivated and highly potential Staff Engineer to join our Data team to make big business impacts and grow your career. 

This is an exciting time to be part of the Data team at WEX. WEX offers sophisticated business solutions that empower a diverse range of customers. The data generated from these systems, applications, and platforms is rich and complex. As one of the most valuable assets of WEX, this data holds immense potential to drive value for our customers and the business.

The Data team's mission is to build big data technologies, platforms, systems, and tools that clean, process, enrich, and optimize core company data, making it easy and efficient to use. This enables both our customers and internal teams to unlock business value. We also create value-added data products for WEX customers. Leveraging modern big data and AI technologies, we employ agile development practices, a combined engineering approach, and the product operating model to drive innovation and efficiency.

We provide challenging problems that have significant business impact, offering you opportunities to learn and grow. Our team consists of highly skilled engineers and leaders who will support, guide, and coach you throughout your journey.

If you're driven to become a strong engineer capable of solving complex problems, delivering impactful solutions, and growing quickly, this is the ideal opportunity for you!.

How you’ll make an impact

• Collaborate with partners and stakeholders to understand customers’ business needs and key challenges.

• Design, test, code, and instrument new data products, systems, platforms, and pipelines of high complexity, ensuring simple and high-quality solutions.

• Leverage data effectively to measure, analyze, and drive decisions.

• Develop and maintain CI/CD automation using tools such as GitHub Actions.

• Implement Infrastructure as Code (IaC) using tools like Terraform, managing cloud-based data infrastructure.

• Perform software development using TDD, BDD, Microservices, and event-oriented architectures with a focus on efficiency, reliability, quality, and scalability.

• Support live data products, systems, and platforms, ensuring proactive monitoring, high data quality, rapid incident response, and continuous improvement.

• Analyze data, systems, and processes independently to identify bottlenecks and opportunities for improvement.

• Mentor peers and foster continuous learning of new technologies within the team and organization.

• Attract top talent to the team; participate in interviews and provide timely, constructive feedback.

• Act as a role model for team processes and best practices, ensuring assigned tasks solve customer and business problems effectively, reliably, and sustainably.

• Collaborate with and lead peers in completing complex tasks and problem-solving efforts.

• Lead Scrum teams with hands-on involvement in Agile practices, ensuring the timely and high-quality development of solutions.

• Own large, complex components or systems, products, and platforms.

• Lead and participate in technical discussions, driving high-quality and efficient system design.

• Independently complete medium to large complexity tasks and proactively seek feedback from senior engineers to ensure quality.

• Proactively identify and communicate project dependencies.

• Review peer work and provide constructive feedback to enhance team collaboration and quality.

• Build reliable, secure, high-quality, and scalable big data platforms and tools to support data transfer, ingestion, processing, serving, delivery, consumption, and data governance.

• Design and implement scalable systems, platforms, pipelines, and tools for the end-to-end data lifecycle, including ingestion, cleaning, processing, enrichment, optimization, and serving, ensuring high-quality and easy-to-use data for both internal and external purposes.

• Develop data quality measurement and monitoring systems, metadata management, data catalogs, and Master Data Management (MDM) solutions.