Data Product Engineer

Role Overview

The Data Product Engineer is responsible for designing, developing, and operating scalable, reusable, and trusted data products that power business intelligence, advanced analytics, AI/ML solutions, and operational decision-making.

What You Will Do

Design, develop, deploy, and maintain enterprise data products and reusable data assets, build scalable batch, streaming, and event-driven data pipelines, and create domain-oriented data products that support analytics, reporting, operational processes, and AI initiatives.

Why It Might Be a Fit

The engineer partners with business stakeholders, product managers, architects, data scientists, and platform teams to deliver data products that align with strategic business outcomes.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or related field
• 5+ years of experience in Data Engineering, Analytics Engineering, Data Product Development, or related disciplines
• Strong SQL expertise and proficiency in Python, Scala, Java, or similar development languages
• Experience building modern ETL/ELT pipelines and data integration solutions
• Hands-on experience with Azure, AWS, or cloud-native data platforms
• Experience with Snowflake, Databricks, Microsoft Fabric, Synapse, Redshift, BigQuery, or equivalent platforms
• Strong understanding of Data Modeling, Data Warehousing, Metadata Management, Data Quality, Cloud Architecture, Experience with Git, CI/CD pipelines, and Agile methodologies