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  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.

• 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

• 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

• 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

• Work with world‑class datasets and large‑scale systems powering…