Sr. Data Engineer

Position Summary

Role and Responsibilities

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:
Bachelors or Masters 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

Experience 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 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

Why 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 tech

Skills and Qualifications

Compensation for this role for candidates based in Mountain View CA is expected to be between $170000 $210000 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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Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process

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