WEX
Senior Software Engineer - Data Lake Engineering
US - Remote · Senior
Sponsorship not specified$122k-$146kDetected 31 days ago
PythonJavaSpringCode ReviewAWSKubernetesCI/CDData EngineeringData ScienceEHR/EMRCommunicationProblem Solving
About the role
- As a member of our team, you'll be part of a collaborative environment focused on solving large-scale, complex problems.
- We're looking for someone eager to learn, grow, and apply foundational engineering skills to make a real business impact.
Responsibilities
- Develop and maintain our data lake platform and related services.
- Collaborate with senior engineers to understand design and architecture principles.
Requirements
- 5+ years of experience in software design and development, with a focus on building large-scale, distributed systems.
- Strong hands-on experience in software development, architecture, deployment, and production operations, preferably with Java / J2EE (Spring/Spring Boot).
- Proficiency in languages like Python is highly desirable.
- Experience with AI-native development workflows, leveraging advanced coding assistants to accelerate complex problem-solving and optimize code quality.
- Experience with cloud architecture and services, including AWS (S3, EMR, Kubernetes, Lambda) and/or Azure.
- Experience in CI/CD automation and frameworks.
- Bachelor's degree in Computer Science, Data Science, or a related field.
- A strong desire to learn about data engineering, large-scale data systems, and AI technologies.
- Good problem-solving skills and a proactive attitude.
- Excellent communication and teamwork skills.
Compensation
- $121,500.00 - $145,500.00
Benefits
- include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.
- Demonstrate a strong passion for continuous learning and improving technical skills.
Company info
- For more information, check out the "About Us" section.
This listing is sourced directly from WEX's careers page and normalized into a canonical job model.