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645 Clyde Avenue, Mountain View, CA, USA, United States of America
Onsite
Position Summary
Sr Data Engineer – Samsung AdsRole 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 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
Experience Levels:
• 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
Preferred Qualifications:
• 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
Why Join Samsung Ads:
• 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
Skills and Qualifications
Compensation for this role, for candidates based in Mountain View, CA is expected to be between $170,000 ~ $210,000 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
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