Samsung Ads is hiring: Data Engineer, Samsung Ads in Mountain View

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.

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

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

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.

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