Sr. Data Engineer

## Sr. Data Engineer Apply remote type:
On-site locations:
645 Clyde Avenue, Mountain View, CA, USAtime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
August 31, 2026 (30+ days left to apply) job requisition :
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  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  
• 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

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,…