Sr. Data Engineer

Position Summary

Sr Data Engineer – Samsung Ads

About Samsung Ads

Samsung Ads is a fast-growing, advanced advertising technology business that helps brands connect with audiences across Samsung Smart TVs and digital ecosystems. By leveraging the industry's most comprehensive data and world-class technology, we're building one of the most intelligent and effective advertising platforms in the world.
As part of a global company with teams and stakeholders across North America, Europe, and Asia, Samsung Ads offers an opportunity to work on cutting-edge, high-impact projects at scale. Our culture is rooted in innovation, collaboration, and entrepreneurial energy — we thrive on solving complex problems, pushing boundaries, and celebrating progress together.

Position Summary

We are seeking Data Engineers at all experience levels to join the Performance & Reach engineering organization within Samsung Ads. You will contribute to the foundational data systems that power our Performance Ads and Reach Demand product lines, working with large-scale advertising datasets to support campaign delivery, reporting, and billing for global advertisers.
You'll work closely with Product, Data Science, Machine Learning, and Application Engineering teams to deliver production-grade data solutions. This position offers significant growth opportunities and mentoring, with the potential to advance into technical leadership roles.

Role and Responsibilities

Key Responsibilities

• Contribute to scalable, high-performance data pipelines for ingestion, transformation, and analytics across large-scale advertising datasets
• Support development and optimization of data models for reporting, billing, and campaign delivery systems
• Participate in building and maintaining batch and real-time data processing workflows handling billions of events daily
• Help ensure data quality, completeness, and accuracy through automated validation frameworks and reconciliation checks
• Contribute to Snowflake optimization including query performance and cost-efficient data processing patterns
• Support workflow orchestration for multi-stage data pipelines
• Follow engineering standards for CI/CD pipelines, test coverage, and deployment quality gates

Technical Growth & Leadership

• Collaborate with cross-functional and cross-site teams to translate business requirements into technical solutions
• Participate in architecture and design reviews for data systems
• Learn and apply data engineering best practices and operational excellence
• Develop prototypes and contribute to proofs of concept
• Adopt AI-assisted development practices and GenAI tool adoption

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field; or equivalent practical experience
• Programming experience in Python; GoLang and Java preferred; Scala nice to have
• Understanding of data technologies including Snowflake, Spark, and SQL
• Experience...