Position Summary

Staff Data Engineer:

Samsung Ads is a leading innovator in advertising technology, dedicated to providing cutting-edge solutions that optimize ad performance and deliver exceptional results for our clients. We seek a talented Staff Data Engineer to play a pivotal role in enhancing our platform’s performance advertising capabilities. As an integral part of our engineering team, you will collaborate with cross-functional teams to design, implement, and optimize attribution models, ensuring accurate measurement of marketing campaign effectiveness.

Role and Responsibilities:

Responsibilities

• Develop and implement advanced data solutions supporting billing, reporting and any other systems within the team’s scope.
• Collaborate with data scientists, product managers, and other engineers to refine and improve data processes.
• Design and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of data.
• Work closely with stakeholders to understand and translate business requirements into technical solutions.
• Conduct A/B testing and performance analysis to validate and iterate on data processes.
• Stay updated on industry trends and emerging technologies related to data engineer and ad tech.

Qualifications

• Bachelor’s or master’s in computer science, Data Science, or a related field.
• Requires at least 8 years of related experience and a bachelor’s degree; or 6 years and a master's degree; or a PhD with 3 years
• Proven experience in delivering data engineering solutions in ad tech industry.
• Strong programming skills in Python, Java, and Scala.
• Experience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite)
• Proficient in working with big data technologies and databases (e.g., Hadoop, Spark, SQL, and Map Reduce).
• Hands-on experience with orchestration tools like Airflow or similar
• Solid understanding of statistical concepts and experience with relevant tools.
• Excellent problem-solving and communication skills.

Skills and Qualifications

Preferred Qualifications

• Experience with RESTful API.
• Experience with Golang
• Familiarity with real-time data processing and streaming technologies.
• Knowledge of end-to-end digital advertising ecosystems and industry standards.
• Knowledge of Snowflake and related technologies

Compensation for this role, for candidates based in Mountain View, CA is expected to be between $190,000 ~ $215,000. 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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