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Software Engineering Intern

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WEX

18d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • Portland
  • Quick Apply

AI generated summary

  • You must be a rising Junior/Senior in CS or related field, skilled in Java, C#, Golang, or Python, with strong analytical, collaboration, and problem-solving abilities, especially in data and AI/ML.
  • You will develop data processing tools, assist in AI system operations, support risk management, and collaborate on software solutions while gaining hands-on experience in modern development practices.

Requirements

  • Currently enrolled in a Bachelor’s program in Computer Science, Data Science, or a related field as a rising Junior or Senior.
  • Strong programming skills in languages like Java, C#, Golang, or Python, with knowledge of coding, automated testing, and system monitoring.
  • Strong analytical skills and a passion for tackling challenges with innovative solutions.
  • Desire to learn robust design solutions for small to medium-scale problems or system components.
  • Strong collaboration and interpersonal skills to effectively work across teams.
  • Highly motivated, curious, and eager to explore new technologies and apply them to enhance productivity and deliverables. For example, proactively utilizing GenAI tools to streamline workflows and build cutting-edge solutions.
  • Enthusiasm for working with big data technologies, AI/ML, risk analysis, and cloud infrastructure.
  • A strong desire to solve customer and business problems through thoughtful and effective solutions.
  • Familiarity with data ingestion, cleaning, processing, enrichment, SQL, data warehouses, ELT, AI/ML, anomaly detection, and related tools.

Responsibilities

  • Data Transformation: Developing advanced platforms and tools to process, enrich, and optimize core company data, ensuring it’s easy and efficient to use—unlocking value for both customers and internal teams.
  • AI Enablement: Building systems that streamline AI application development and operations, helping us stay ahead in a fast-paced tech landscape.
  • Risk Management: Empowering the business with tools to identify and prevent fraud, optimize credit decisions, and safeguard our payment systems.
  • Challenging Problems: Work on impactful, high-stakes challenges that will accelerate your technical and professional growth.
  • Supportive Environment: Learn and thrive with guidance from industry experts who are dedicated to your success.
  • Career Growth: Develop into a strong engineer capable of tackling tough problems and driving big outcomes in a thriving, fast-paced field.
  • Collaborate with Purpose: Work closely with team members to understand customer challenges and create impactful solutions.
  • Build & Refine Skills: Gain hands-on experience in design, testing, coding, instrumentation, and production monitoring of systems with small to medium complexity.
  • Data-Driven Insights: Learn to effectively measure and analyze data to inform strategic decisions and identify opportunities for improvement.
  • Master DevOps Tools: Assist in the development and maintenance of CI/CD pipelines using tools like GitHub Actions to streamline deployment and automation.
  • Modern Development Practices: Practice software development using TDD, BDD, and microservice or event-driven architectures for cutting-edge solutions.
  • Maintain Excellence: Support live systems, ensuring high data quality, proactive monitoring, rapid incident response, and continuous improvements to stability and performance.
  • Drive Innovation: Analyze data and systems to uncover bottlenecks and improve efficiency, scalability, and functionality.
  • Learn & Grow: Continuously advance your technical expertise by learning from peers and adopting new technologies to solve real-world problems.
  • Deliver Impact: Understand customer and business needs to design and implement reliable, scalable, and effective solutions.
  • Collaborate with Experts: Partner with team members to brainstorm, build, and troubleshoot complex problems.
  • Seek Excellence: Proactively request reviews from senior engineers to ensure high-quality outputs.
  • Scale Systems: Learn to build secure, high-performance, and user-friendly platforms and tools for data, AI, and risk technologies at scale.
  • Master the Tech Stack: Gain expertise in key tools, languages, and platforms, including integrating with WEX systems and adhering to engineering best practices.

FAQs

What qualifications are required for the Software Engineering Intern position?

Candidates should be currently enrolled in a Bachelor’s program in Computer Science, Data Science, or a related field, preferably as a rising Junior or Senior.

What programming languages should I be familiar with for this intern position?

Strong programming skills are required in languages such as Java, C#, Golang, or Python.

Will I have the opportunity to work on AI and ML applications during this internship?

Yes, the internship involves working on cutting-edge AI/ML enabled applications in the fleet space, utilizing data from fuel transactions and telematics.

How long does the internship program last?

The internship program runs for approximately 13 weeks from the end of May to mid-August.

Is the internship paid?

Yes, internships are paid positions.

What kind of projects will I work on during the internship?

Interns will focus on specific projects that involve data transformation, AI enablement, risk management, and developing solutions for customer challenges.

Are there opportunities for full-time positions after the internship?

Yes, many interns secure full-time positions or extended internship opportunities within the company based on performance and alignment with company values.

What is the pay range for this internship?

The pay range for this position is $20.00 - $25.00 per hour.

Will I receive mentorship during the internship?

Yes, interns will have the guidance and support of industry experts who are dedicated to their success and career growth.

What kind of work environment should I expect?

You can expect a dynamic and collaborative environment where you'll work closely with talented engineers and leaders in an agile setting.

Is knowledge of data processing tools a requirement?

Familiarity with data ingestion, cleaning, processing, enrichment, SQL, data warehouses, ELT, AI/ML, and related tools is considered a plus.

Are there any specific soft skills that are important for this role?

Strong collaboration and interpersonal skills, as well as being a self-driven learner with a desire to solve customer and business problems, are important for success in this role.

What is the team's focus within the company?

The DART team focuses on data transformation, AI enablement, risk management, and developing innovative solutions for business and customer challenges.

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WEX

Simplifying the business of running a business.

Technology
Industry
5001-10,000
Employees
1983
Founded Year

Mission & Purpose

WEX (NYSE: WEX) is the global commerce platform that simplifies the business of running a business. WEX has created a powerful ecosystem that offers seamlessly embedded, personalized solutions for its customers around the world. Through its rich data and specialized expertise in simplifying benefits, reimagining mobility and paying and getting paid, WEX aims to make it easy for companies to overcome complexity and reach their full potential. For more information, please visit www.wexinc.com.