Data Engineer, Samsung Ads (Mountain View)

About Samsung AdsSamsung 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 SummaryWe 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.Key ResponsibilitiesContribute to scalable, high-performance data pipelines for ingestion, transformation, and analytics across large-scale advertising datasetsSupport development and optimization of data models for reporting, billing, and campaign delivery systemsParticipate in building and maintaining batch and real-time data processing workflows handling billions of events dailyHelp ensure data quality, completeness, and accuracy through automated validation frameworks and reconciliation checksContribute to Snowflake optimization including query performance and cost-efficient data processing patternsSupport workflow orchestration for multi-stage data pipelinesFollow engineering standards for CI/CD pipelines, test coverage, and deployment quality gatesTechnical Growth & LeadershipCollaborate with cross-functional and cross-site teams to translate business requirements into technical solutionsParticipate in architecture and design reviews for data systemsLearn and apply data engineering best practices and operational excellenceDevelop prototypes and contribute to proofs of conceptAdopt AI-assisted development practices and GenAI tool adoptionQualificationsBachelor's or master's degree in computer science, Data Science, Electrical Engineering, or a related field; or equivalent practical experienceProgramming experience in Python; Golang and Java preferred; Scala nice to haveUnderstanding of data technologies including Snowflake, Spark, and SQLExperience with or eagerness to learn streaming data systems such as Kafka, Flink, or KinesisFamiliarity with workflow orchestration tools (e.g., Airflow) or willingness to learnUnderstanding of data modeling and software engineering best practicesStrong communication and collaboration skills with growth mindsetEntry Level (0-2 years): New graduates or early-career professionals with relevant coursework, internships, or personal projectsMid Level (2-5 years): Solid experience with data systems and data engineeringSenior Level (5+ years): Proven track record of building and operating large-scale data systems with technical leadership experiencePreferred QualificationsExperience with cloud platforms, particularly Amazon Web Services (AWS)Background in digital advertising, programmatic systems, or ad measurement platformsExperience with containerization and orchestration (Kubernetes, Docker)Experience with data quality frameworks and automated validation pipelinesKnowledge of statistical methods and data-driven performance analysisExperience with infrastructure-as-code and CI/CD automationExperience with large-scale reporting, data warehousing, or billing systemsWhy Join Samsung AdsWork with world-class datasets and large-scale systems powering billions of ad impressions dailyContribute to the foundational data platform that drives decision-making across the entire advertising businessCollaborate with cross-disciplinary and cross-site teams driving the next generation of connected TV and digital advertisingGrow your career with mentoring opportunities, technical leadership development, and advancement pathsBe part of a global, high-performance culture that values creativity, innovation, and ownershipLearn from industry experts and work on cutting-edge technology in one of the most dynamic sectors in techCompensation 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