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Staff Engineer I, Data Engineering

Samsung Electronics is a global leader in technology, established in 1969, transforming the worlds of TVs, smartphones, wearables, tablets, digital appliances, and network systems.
$211,536 - $283,000
Data
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Staff Engineer I, Data Engineering

Samsung Electronics America is seeking a Staff Engineer I, Data Engineering to join their team in Mountain View, California. This role offers an exciting opportunity to work at one of the world's leading technology companies, with a competitive salary range of $211,536 to $283,000 per year.

The position focuses on developing analytical platforms to transform data and drive the strategy and development of Machine Learning platforms and features. As a Staff Engineer, you'll be responsible for creating and delivering data features that shape critical business products in Samsung Ads, ultimately influencing major aspects of data platforms and ad servicing products.

Your role will involve working with large-scale data systems, creating and managing data pipelines, and performing exploratory data analysis. You'll be responsible for efficiently onboarding terabytes of data within specific SLAs and collaborating with cross-functional teams to understand and meet their data needs.

The ideal candidate will have a Bachelor's degree in Computer Science or related field, with 5 years of progressive experience. Technical expertise should include proficiency in Spark, Airflow, Python, Java, and AWS technologies. Experience with database technologies (MySQL, Oracle, NoSQL, Vertica) and machine learning domains (Computer Vision, NLP) is essential.

Samsung Electronics, established in 1969, has grown into a global technology leader, known for innovation in TVs, smartphones, wearables, and semiconductor technology. The company offers a diverse and inclusive work environment, providing equal opportunities and fostering an inclusive culture where everyone belongs.

This role presents an excellent opportunity for a skilled data engineer to work on cutting-edge technology projects, shape product development, and contribute to Samsung's continued innovation in the technology sector. The position offers the chance to work with advanced technologies and large-scale data systems while being part of a global team that's building tomorrow's technology solutions.

Last updated a month ago

Responsibilities For Staff Engineer I, Data Engineering

  • Develop analytical platforms to transform data and drive strategy and development of Machine Learning platform and features
  • Create and deliver data features for Samsung Ads products
  • Analyze and process large sets of data, create and manage data pipelines
  • Perform exploratory data analysis and data validation
  • Onboard terabytes of data efficiently within desired SLA
  • Work with cross-functional teams to understand data needs
  • Build data modeling features and products
  • Develop advanced solutions using System Design and Architecture
  • Design and build robust, scalable Web Applications with Microservices architecture

Requirements For Staff Engineer I, Data Engineering

Python
Java
MySQL
  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology or related field
  • 5 years of progressive, post-baccalaureate experience
  • Experience building data pipelines using Spark and Airflow
  • Experience with microservices and Rest APIs, and Amazon AWS technologies including S3, EMR, Lambda
  • Experience with database technologies, including MySQL, Oracle, NoSQL, Vertica
  • Experience with Airflow, Spark, Python, Java, AWS and CS fundamentals
  • Experience in core Machine Learning domains, including Computer Vision and Natural Language Processing
  • Object Oriented design and development experience

Benefits For Staff Engineer I, Data Engineering

Medical Insurance
Dental Insurance
Vision Insurance
  • Equal Employment Opportunity
  • Reasonable Accommodations for Qualified Individuals with Disabilities

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