{"schemaVersion":"jobsearcher.job.v1","id":"9b3b497635775d76d6aeec37","url":"https://jobsearcher.com/jobs/9b3b497635775d76d6aeec37","canonicalUrl":"https://jobsearcher.com/jobs/9b3b497635775d76d6aeec37","title":"Sr. Data Engineer","description":"Sr. Data EngineerApplyremote type: On-sitelocations: 645 Clyde Avenue, Mountain View, CA, USAtime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 31, 2026 (30+ days left to apply)job requisition id: R117680Position SummarySr 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 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 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.Role and ResponsibilitiesKey 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 gatesTechnical 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 adoptionQualifications: • 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 mindsetExperience 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 experiencePreferred 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 systemsWhy 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 techSkills and QualificationsCompensation 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#LI-KG1\r\nJ-18808-Ljbffr","company":"Samsung Electronics Peru","rawCompany":"samsung electronics peru","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-25T00:44:10.431Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Data Engineer","description":"Sr. Data EngineerApplyremote type: On-sitelocations: 645 Clyde Avenue, Mountain View, CA, USAtime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 31, 2026 (30+ days left to apply)job requisition id: R117680Position SummarySr 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 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 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.Role and ResponsibilitiesKey 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 gatesTechnical 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 adoptionQualifications: • 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 mindsetExperience 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 experiencePreferred 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 systemsWhy 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 techSkills and QualificationsCompensation 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#LI-KG1\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:44:10.431Z","dateModified":"2026-06-25T00:44:10.431Z","hiringOrganization":{"@type":"Organization","name":"Samsung Electronics Peru","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9b3b497635775d76d6aeec37"},"url":"https://jobsearcher.com/jobs/9b3b497635775d76d6aeec37"}}