Data Engineer (AI Focused) - Entry-Level

About the Team / Role

We are a fast-growing AI team, driving WEX's strategic vision to integrate artificial intelligence into the core of our business.

Our team thrives on collaboration, working directly with stakeholders and domain experts to develop innovative AI solutions that enhance decision-making and create groundbreaking products.

We foster a culture of continuous learning and believe that the best work stems from a shared purpose and an enjoyable, engaging environment.

We are seeking an enthusiastic and detail-oriented Entry-Level Data Engineer with a focus on AI to join our team. In this role, you will assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives.

This position is ideal for someone eager to start a career in data engineering and AI, offering opportunities to work with cutting-edge technologies and grow within a dynamic environment.

How You’ll Make an Impact :

You are a highly motivated and results-oriented individual with a passion for data science and machine learning. You possess a strong drive to learn and excel in solving complex problems using data-driven tools and algorithms.

You understand the importance of effective communication and collaboration in achieving successful outcomes.

Data Pipeline Development :

Assist in the design and implementation of data pipelines to support AI and machine learning models.

Develop and maintain ETL (Extract, Transform, Load) processes for efficient data ingestion and transformation.

Data Integration & Management :

Support the integration of various data sources and ensure data quality and consistency.

Work with databases, data warehouses, and big data technologies to store and manage large datasets.

AI & ML Support :

Collaborate with data scientists and machine learning engineers to provide clean and structured data for model training and evaluation.

Assist in optimizing data workflows and pipelines to improve the performance of AI and machine learning models.

Data Monitoring & Troubleshooting :

Monitor data pipelines and workflows to ensure they are running smoothly and efficiently.

Troubleshoot and resolve data-related issues and anomalies.

Experience you'll bring :

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Prior internship focused on Data Engineering

Practical knowledge with programming languages such as Python, Java, C# or Scala.

Practical knowledge of SQL and relational databases.

Basic understanding of data engineering concepts and data pipeline development.

Preferred Skills & Qualifications :

Experience or coursework related to AI, machine learning, or data science.

Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

Exposure to big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.

Understanding of data modeling and data warehousing concepts.

Strong analytical and problem-solving skills.

Ability to work collaboratively in a team environment.

Excellent communication skills, both written and verbal.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role.

Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan.

Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being.

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.

For more information, check out the "About Us" section.