Samsung Ads · 1 day ago
Staff Engineer I, Data Engineering
18500 Von Karman Ave, STE 700, Irvine CA, USA
Full-time
Hybrid
Lead/Staff
$185K/yr - $225K/yr
8+ years expSamsung Electronics America, Inc. is seeking a Staff Engineer I in Data Engineering. The role involves designing and developing scalable data stores, building real-time streaming pipelines, and collaborating with teams to ensure high-quality data services.
Marketing & Advertising
Responsibilities
Design and develop scalable data stores and frameworks with sub-second query latency on highly multi-dimensional data
Provide engineering solutions to aggregate and automate large scale data flows from varying sources
Build real time streaming pipelines that deliver data with measurable quality under the SLA
Ability to effectively communicate ideas to peers and distributed teams
Deliver products with top notch quality in a fast-paced environment
Contribute towards building a system with a test-driven development and agile approach
Collaborate with other team members in breaking down tasks and implementation of the initiatives to release
Architect and implement robust data services that allow for efficient, scalable and reliable data collection, processing and transformation across multiple systems, ensuring the data is available for analytics and business applications
Develop and maintain highly efficient, fault tolerant ETL/ELT pipelines to handle large datasets, enabling seamless integration with downstream analytics, machine learning models, and reporting systems
Implement solutions for real-time data ingestion, streaming, and processing to deliver up-to-date business applications
Design, implement and manage distributed data storage solutions
Work closely with data governance teams to ensure that data services meet all compliance, privacy and security standards (eg. GDPR, CCPA)
Implement policies and best practices for data management, lineage and quality
Continuously monitor and optimize data processing performance, including optimizing data storage, query performance and the scalability of data pipelines
Collaborate with product managers, business stakeholders and other engineering teams to understand data needs and provide high quality data services
Foster a culture of continuous learning and best practices
Create and maintain documentation for data services, pipelines and architectures
Establish and promote best practices for data engineering, automation and scalability across the team
Qualification
Required
Bachelor's degree or foreign equivalent degree in Computer Science, Computer Engineering, Information Networking, Data Science or a related field and ten (10) years of progressive post-baccalaureate experience as a Staff Engineer I, Data Engineering or related occupation
Must have ten (10) years of experience in the following skills: (1) experience with large scale distributed systems as pertains to data storage and computing; (2) experience with Amazon AWS technologies, including S3, EMR, and Redshift; (3) experience with databases, including Oracle, Postgres, Cassandra, and Vertica; (4) experience with data technologies, including Airflow, Spark, Python, SQL, Java, AWS, and Computer Science Fundamentals; (5) experience with data modeling, ETL development, and data warehousing, and Object Oriented Design and Development (6) experience in implementing, and maintaining CI/CD pipelines using various tools and technologies, including understanding the different stages of a pipeline
Partial telecommuting permitted; employees will be required to report to office multiple days per week
Preferred
Employer will accept a Master's degree or foreign equivalent degree in Computer Science, Computer Engineering, Information Networking, Data Science or a related field and eight (8) years of experience as a Staff Engineer I, Data Engineering or related occupation as equivalent to the Bachelor's degree and ten (10) years of experience
If qualifying with a Master's degree or foreign equivalent degree, must have eight (8) years of experience in the following skills: (1) experience with large scale distributed systems as pertains to data storage and computing; (2) experience with Amazon AWS technologies, including S3, EMR, and Redshift; (3) experience with databases, including Oracle, Postgres, Cassandra, and Vertica; (4) experience with data technologies, including Airflow, Spark, Python, SQL, Java, AWS, and Computer Science Fundamentals; (5) experience with data modeling, ETL development, and data warehousing, and Object Oriented Design and Development (6) experience in implementing, and maintaining CI/CD pipelines using various tools and technologies, including understanding the different stages of a pipeline
Company
Samsung Ads
Samsung Ads helps consumers discover relevant content and brands across Smart TVs, mobile, and desktop.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Kimberly Lauterbach
Head Of Business Operations
Recent News
2025-12-16
2025-12-15
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