Data Engineer

Role Overview

The Data Engineer is an individual contributor accountable for the technical vision, design, and evolution of data platforms and segmentation capabilities. The role emphasizes deep technical expertise, product partnership, and architecture.

What You Will Do

The Data Engineer will analyze and integrate structured and unstructured data, build scalable data preparation and feature engineering pipelines, develop predictive and recommendation models, and establish rigorous model evaluation and testing practices.

Why It Might Be a Fit

The ideal candidate will have 3-6 years of experience in data and machine learning engineering, a strong understanding of supervised and unsupervised learning, and experience developing production machine learning models.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience
• 3+ years of hands-on experience in data platform, analytics engineering, or backend engineering roles
• Strong programming experience with Python or common data and ML libraries
• Experience developing production machine learning models using frameworks such as scikit-learn, PyTorch, TensorFlow, XGBoost, or equivalent
• Strong understanding of supervised and unsupervised learning, model selection, feature engineering, and statistical modeling
• Experience preparing large datasets for machine learning, including cleansing, transformation, feature generation, and quality validation
• Strong SQL skills and experience working with large enterprise datasets
• Experience designing training, evaluation, and inference pipelines
• Experience deploying machine learning models into production environments
• Practical understanding of MLOps, including experiment tracking, model versioning, CI/CD, automated testing, deployment, and monitoring
• Experience developing or integrating APIs and services used for model inference
• Strong software engineering practices including modular design, source control, code review, automated testing, and production debugging
• Experience working with cloud-based data and ML platforms
• Ability to assess multiple modeling approaches and select the simplest solution that meets the business objective
• Strong communication skills and the ability to collaborate with product managers, business stakeholders, software engineers, and data teams

Benefits

• Dental insurance
• Vision insurance
• Annual Incentive Reference Value Percentage: 15
• Full range of medical, financial, and/or other benefits, dependent on the position

Tagged as: Python, SQL