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About the Role

Join our Risk Engineering Data Team as a Senior Engineer to make significant business impacts and grow your career. This role involves building big data technology, platforms, systems, and tools to clean, process, enrich, and optimize core company data, enabling customers and internal teams to generate value. We leverage modern big data and AI technologies, employing agile development and a product operating model to solve challenging problems with huge business impact potential.

Responsibilities

Collaborate with partners and stakeholders to understand customer business needs and challenges.
Design, code, test, deploy, and monitor sophisticated processes in a cloud-based architecture.
Develop and maintain CI/CD automation using tools such as GitHub Actions, Jenkins, Azure DevOps.
Implement Infrastructure as Code (IaC) using tools like Terraform, including provisioning and managing cloud-based data infrastructure.
Perform software development with TDD and BDD, Microservice and event-oriented architectures.
Analyze data, existing systems, and processes independently to identify bottlenecks and improvement opportunities.
Mentor and learn from peers, fostering continuous learning of new technology within the team and organization.
Assist in interviews and provide quality and timely feedback.
Apply team processes and best practices to tasks with support from peers and management.
Proactively understand customer/business problems and ensure designs and implementations solve them effectively, reliably, and sustainably.
Partner with, assist, or lead team members in development and problem-solving.
Take strong ownership/accountability, be proactive, and lead.
Lead a scrum team with proper agile development practices, ensuring high-quality and timely development and delivery.
Own medium to large complex components or systems/products/platforms.
Participate and lead technical discussions.
Design and build high-quality and efficient systems with craftsmanship.
Independently and productively complete work of medium/large complexity, seeking senior engineer reviews for quality assurance.
Proactively identify and communicate dependencies.
Review peer work and provide constructive feedback.
Build reliable, secure, high-quality, efficient, and easy-to-use big data platforms and tools at scale.
Build systems, platforms, data pipelines, and tools for the E-2-E data life cycle.
Build data quality measurement & monitoring techniques and systems, metadata and data catalog, Master Data Management.
Become a subject matter expert in functional areas and best practices.
Assess unique circumstances and apply creative problem-solving techniques.
Use data and/or AI technology or tools in solutions for effective business outcomes and better customer experience.
Analyze data to understand risk problems and build effective solutions.
Learn and explore new technology and innovative approaches to improve effectiveness and productivity.
Bring learnings to the team to foster collective growth.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or related field, OR demonstrable equivalent deep understanding, experience, and capability.
4+ years of experience in software engineering at a large scale.
Master or PhD degree in Computer Science (or related field) and 2+ years of experience in software engineering.
Strong problem-solving skills.
Excellent communication and collaboration skills.
Highly self-motivated and eager to learn.
Continuous growth and upskilling mindset.
Rich experience in designing high-quality, performant, and efficient solutions for medium/large complex problems.
Rich experience and good understanding of CI/CD automation.
Experienced in combined engineering practices and agile development.
Rich experience and strong implementation skills using languages like Java, C#, or Golang including coding, automated testing, measurement and monitoring.
Experienced in TDD approach.
Good understanding of data processing techniques, such as data pipeline/platform development, SQL, as well as relational, NoSQL, and data warehousing technologies.
Experienced in cloud technology, such as AWS, Azure, GCP as well as deployment topologies to ensure high availability and low latency processing.
Passionate about understanding and solving customer/business problems.

Skills

CI/CD automation
GitHub Actions
Jenkins
Azure DevOps
Infrastructure as Code (IaC)
Terraform
TDD
BDD
Microservice architectures
Event-oriented architectures
Java
C#
Golang
Automated testing
Measurement and monitoring
Data pipeline development
Platform development
SQL
Relational databases
NoSQL databases
Data warehousing
AWS
Azure
GCP

Location

Remote

Work Type

Full-time

Experience Level

Senior

Education Level

Bachelor's degree
Master's degree
PhD

Salary/Compensations

$121,500.00 - $145,500.00

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

About the Company

WEX is a global commerce platform that helps businesses solve for operational complexities like employee benefits, managing and mobilizing fleets, and streamlining payments.
With over 6,500 employees, WEX works with large and small companies in more than 200 countries and territories.
WEX tailors services to meet the unique needs of businesses.
WEX hires people who share a passion for continuous innovation and unparalleled client service.
WEX promotes a drug-free workplace.

Equal Opportunity

WEX is an equal opportunity employer committed to diversity and inclusion in the workplace.
All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, sexual orientation, gender identity, protected veteran status, disability or other protected status.
Qualified individuals with a disability have the right to request a reasonable accommodation.