Enterprise Data Engineer

About the Role

This position focuses on designing, building, testing, and evaluating the data infrastructure needed to support business operations.

What You'll Do

• Build and maintain robust systems that collect and process data in line with company objectives.
• Develop and scale infrastructure for ingesting, processing, and extracting insights from data.
• Design and implement statistical or mathematical models for classification and information extraction tasks.
• Use existing data infrastructure to handle data requests, including cleansing, normalization, hashing, and updates to data models; analyze datasets to detect trends, anomalies, and correlations.
• Develop and implement natural language processing modules.
• Apply advanced methods and problem-solving techniques to diagnose and resolve technical issues.
• Take on other duties as needed.

What You'll Need

• Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent certification).
• 4+ years working with ETL platforms (e.g., IBM DataStage, Informatica, Snowpipe, AWS, Azure).
• Solid understanding of relational databases, data warehousing, and data modeling.
• Proficiency in SQL and Python (or similar languages).
• Ability to work both independently and collaboratively.
• Strong communication, analytical, and problem-solving skills.
• Comfort with data warehouse tools and advanced computing environments.
• Master's degree in a related field preferred.