Data Engineer

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 billions of ad impressions daily
• Contribute to the foundational data platform that drives decision-making across the entire advertising business
• Collaborate with cross-disciplinary and cross-site teams driving the next generation of connected TV and digital advertising
• Grow your career with mentoring opportunities, technical leadership development, and advancement paths
• Be part of a global, high-performance culture that values creativity, innovation, and ownership
• Learn from industry experts and work on cutting-edge technology in one of the most dynamic sectors in tech

Compensation for this role, for candidates based in Mountain View, CA is expected to be between $150,000 ~ $170,000 base. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full‑time employees (salaried or hourly) have access to benefits including Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.