Staff Engineer I, Data Engineering

Position Overview

Samsung Electronics America, Inc. is seeking a Staff Engineer I, Data Engineering. MULTIPLE POSITIONS AVAILABLE.
Location: Irvine, CA
Schedule: Full Time, 40 hours/week
Salary: $184,558 per year to $225,000 per year

Job ID:

Key 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.
• Effectively communicate ideas to peers and distributed teams.
• Deliver products with top notch quality in a fast-paced environment.
• Contribute towards building a system using test-driven development and an agile approach.
• Collaborate with team members to break down tasks and implement initiatives for release.
• Architect and implement robust data services for efficient, scalable, and reliable data collection, processing, and transformation across multiple systems.
• Develop and maintain highly efficient, fault tolerant ETL/ELT pipelines to handle large datasets and integrate with analytics, machine learning models, and reporting systems.
• Implement solutions for real-time data ingestion, streaming, and processing to support up-to-date business applications.
• Design, implement, and manage distributed data storage solutions.
• Work closely with data governance teams to ensure compliance with privacy and security standards (e.g., GDPR, CCPA).
• Implement policies and best practices for data management, lineage, and quality.
• Continuously monitor and optimize data processing performance, including data storage, query performance, and pipeline scalability.
• 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.

Required Qualifications

• Education: Bachelor’s degree or foreign equivalent 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.
• Alternatively, a Master’s degree or foreign equivalent in the above fields with eight (8) years of relevant experience is acceptable.
• Qualifications: Ten (10) years of experience (or eight (8) years with a Master’s degree) in:
  – Large scale distributed systems pertaining to data storage and computing
  – Amazon AWS technologies including S3, EMR, and Redshift
  – Databases such as Oracle, Postgres, Cassandra, and Vertica
  – Data technologies including Airflow, Spark, Python, SQL, Java, AWS, and Computer Science fundamentals
  – Data modeling, ETL development, data warehousing, and object oriented design and development
  – Implementing and maintaining CI/CD pipelines using various tools and technologies
• Partial telecommuting permitted; employees are required to report to the office multiple days per week.