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Sr. Data EngineerSamsung Electronics Perú • Mountain View, California, United States
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Sr. Data Engineer

Samsung Electronics Perú
  • US
    Mountain View, California, United States
  • US
    Mountain View, California, United States
Jetzt Bewerben

Über

## 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:
R117680**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 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 Responsibilities**Key Responsibilities:•
Contribute to scalable, high-performance data pipelines for ingestion, transformation, and analytics across large-scale advertising datasets
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Support development and optimization of data models for reporting, billing, and campaign delivery systems
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Participate in building and maintaining batch and real-time data processing workflows handling billions of events daily
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Help ensure data quality, completeness, and accuracy through automated validation frameworks and reconciliation checks
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Contribute to Snowflake optimization including query performance and cost-efficient data processing patterns
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Support workflow orchestration for multi-stage data pipelines
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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
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Participate in architecture and design reviews for data systems
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Learn and apply data engineering best practices and operational excellence
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Develop prototypes and contribute to proofs of concept
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Adopt AI-assisted development practices and GenAI tool adoptionQualifications:
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Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field; or equivalent practical experience
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Programming experience in Python; GoLang and Java preferred; Scala nice to have
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Understanding of data technologies including Snowflake, Spark, and SQL
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Experience with or eagerness to learn streaming data systems such as Kafka, Flink, or Kinesis
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Familiarity with workflow orchestration tools (e.g., Airflow) or willingness to learn
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Understanding of data modeling and software engineering best practices
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Strong communication and collaboration skills with growth mindsetExperience Levels:
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Entry Level (0-2 years): New graduates or early-career professionals with relevant coursework, internships, or personal projects
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Mid Level (2-5 years): Solid experience with data systems and data engineering
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Senior Level (5+ years): Proven track record of building and operating large-scale data systems with technical leadership experiencePreferred Qualifications:
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Experience with cloud platforms, particularly Amazon Web Services (AWS)
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Background in digital advertising, programmatic systems, or ad measurement platforms
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Experience with containerization and orchestration (Kubernetes, Docker)
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Experience with data quality frameworks and automated validation pipelines
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Knowledge of statistical methods and data-driven performance analysis
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Experience with infrastructure-as-code and CI/CD automation
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Experience with large-scale reporting, data warehousing, or billing systemsWhy Join Samsung Ads:
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Work with world-class datasets and large-scale systems powering billions of ad impressions daily
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Contribute to the foundational data platform that drives decision-making across the entire advertising business
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Collaborate with cross-disciplinary and cross-site teams driving the next generation of connected TV and digital advertising
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Grow your career with mentoring opportunities, technical leadership development, and advancement paths
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Be part of a global, high-performance culture that values creativity, innovation, and ownership
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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#LI-KG1 #J-18808-Ljbffr
  • Mountain View, California, United States

Sprachkenntnisse

  • English
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