Data Engineer, Samsung Ads

Samsung
Los Altos, United States of America
3 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 150K

Job location

Los Altos, United States of America

Tech stack

Query Performance
Java
Airflow
Amazon Web Services (AWS)
Big Data
Code Coverage
Computer Programming
Continuous Integration
Information Engineering
Data Governance
Data Systems
Data Warehousing
Python
Machine Learning
Standard Sql
Software Construction
Data Streaming
Workflow Management Systems
Data Processing
Snowflake
Spark
Containerization
Kubernetes
Information Technology
Apache Flink
Data Analytics
Kafka
Data Pipelines
Docker
Go

Job description

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., * 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

Requirements

  • 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

Benefits & conditions

  • 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

About the company

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.

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