Senior Staff Software Engineer - Level 5

$156,000 - $208,000/Yr

WEX - Saint Louis, MO

Full-time - Senior

Remote - Saint Louis, MO

5,001-10,000 employees

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Sr Staff Engineer position at WEX is a remote role focused on leveraging big data technologies to drive business value and enhance customer solutions. The Data team is responsible for building and optimizing data systems and platforms, ensuring high-quality data delivery and innovative product development. This role offers significant opportunities for professional growth and impact within a collaborative and skilled engineering environment.

Responsibilities

• Collaborate with partners and stakeholders to understand customers' business challenges and key requirements.
• Design, test, code, and instrument complex data products, systems, platforms, and pipelines, ensuring high-quality, scalable, reliable, secure, cost-effective, and user-friendly solutions.
• Utilize data to drive decisions by effectively measuring and analyzing outcomes.
• Develop and maintain CI/CD automation using tools such as GitHub Actions.
• Implement Infrastructure as Code (IaC) using tools like Terraform, including provisioning and managing cloud-based data infrastructure.
• Apply software development methodologies such as TDD, BDD, and Microservice/Event-Oriented Architectures to ensure efficiency, reliability, quality, and scalability.
• Support live data products, systems, and platforms by promoting proactive monitoring, ensuring high data quality, rapid incident response, and continuous improvement.
• Analyze data, systems, and processes independently to identify bottlenecks and opportunities for improvement.
• Lead complex problem diagnostics and drive timely resolutions.
• Mentor peers and foster continuous learning of new technologies within the team and the broader organization, consistently upholding high technical standards.
• Attract top industry talent; contribute to interviews and provide timely, high-quality feedback.
• Serve as a role model by adhering to team processes and best practices, ensuring your solutions effectively solve customer and business problems in a reliable and sustainable way.
• Collaborate with or lead peers in completing complex tasks, ensuring timely and effective execution.
• Lead a Scrum team with hands-on involvement, ensuring high-quality and timely development and delivery aligned with agile best practices.
• Own large, complex systems, platforms, and products, driving future developments and ensuring they deliver measurable business value.
• Lead and actively participate in technical discussions, ensuring the team stays at the forefront of industry advancements.
• Design and build high-performance, reliable systems with attention to detail and craftsmanship.
• Complete large, complex tasks independently, seeking feedback from senior peers to maintain high quality.
• Proactively identify and communicate project dependencies.
• Review peer work, providing constructive feedback to promote continuous improvement.
• Build scalable, secure, and high-quality big data platforms and tools to support data transfer, ingestion, processing, serving, delivery, and data governance needs.
• Design and build efficient systems, platforms, pipelines, and tools for the entire data lifecycle, including ingestion, cleaning, processing, enrichment, optimization, and serving, leveraging the data platform.
• Develop systems for high-quality, user-friendly data delivery for both internal and external use.
• Develop data quality measurement and monitoring techniques, metadata management, data catalogs, and Master Data Management (MDM) systems.
• Use data modeling techniques to design and implement efficient, easy-to-use data models and structures.
• Become a deep subject matter expert in your functional area, applying best practices.
• Apply creative problem-solving techniques to assess unique circumstances and suggest or implement solutions.
• Leverage data and AI technologies to enhance productivity and solution quality, influencing peers to adopt these practices.
• Lead team initiatives by applying your extensive experience and technical expertise to drive decisions on methods and approaches to complex issues.
• Hold yourself and your team accountable for delivering high-quality results aligned with defined OKRs (Objectives and Key Results).
• Provide strategic advice to senior leadership on highly complex situations, leading teams through initiatives that achieve excellent results.
• Offer thought leadership on business initiatives by applying deep technical and industry expertise.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field, OR demonstrable equivalent deep understanding, experience, and capability.
• 10+ years of experience in large-scale software engineering.
• Strong problem-solving skills, with excellent communication and collaboration abilities.
• Highly self-motivated and eager to learn, consistently adopting new technologies to improve productivity and the quality of deliverables.
• Proficient in leveraging GenAI technologies to enhance work productivity and build innovative products/systems for customers.
• Extensive experience in architecture design, creating simple, high-quality, performant, and efficient solutions for large, complex problems.
• Deep expertise in CI/CD automation.
• Rich experience in combined engineering practices and Agile development, with a track record of leading teams to adopt these methods effectively.
• Extensive experience and strong implementation skills in programming languages such as Java, C#, Golang, and Python, including coding, automated testing, measurement, and monitoring, ensuring high productivity.
• Expertise in data processing techniques, including data pipeline/platform development, SQL, and database management.
• Extensive experience in data ingestion, cleaning, processing, enrichment, storage, and serving, using tools such as ELT, SQL, relational algebra, and databases.
• Experience with cloud technologies, including AWS and Azure.
• Strong understanding of data warehousing and dimensional modeling techniques.
• Understanding of data governance principles.

Nice-to-haves

• A Master's or PhD degree in Computer Science (or related field) is a plus.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Retirement savings plan
• Paid time off
• Health savings account
• Flexible spending accounts
• Life insurance
• Disability insurance
• Tuition reimbursement
• Quarterly or annual bonus based on role and applicable plan.