Sr. Data Engineer

Samsung•Mountain View, CA

About The Position

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. 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.

Requirements

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 with or eagerness to learn streaming data systems such as Kafka, Flink, or Kinesis
Familiarity with workflow orchestration tools (e.g., Airflow) or willingness to learn
Understanding of data modeling and software engineering best practices
Strong communication and collaboration skills with growth mindset
Entry Level (0-2 years): New graduates or early-career professionals with relevant coursework, internships, or personal projects
Mid Level (2-5 years): Solid experience with data systems and data engineering
Senior Level (5+ years): Proven track record of building and operating large-scale data systems with technical leadership experience

Nice To Haves

Experience with cloud platforms, particularly Amazon Web Services (AWS)
Background in digital advertising, programmatic systems, or ad measurement platforms
Experience with containerization and orchestration (Kubernetes, Docker)
Experience with data quality frameworks and automated validation pipelines
Knowledge of statistical methods and data-driven performance analysis
Experience with infrastructure-as-code and CI/CD automation
Experience with large-scale reporting, data warehousing, or billing systems

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
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