Sr. Data Engineer

Samsung Electronics

Remote Actively hiring Posted this week Verified listing
Los Angeles, CA Posted 3 days ago Apply by Dec 31, 2026 $180,000$230,000 / year

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k
This role $205k
$83k most similar roles pay here $246k

This role pays more than 82% of similar roles. Most pay $126,800–$190,587 — the shaded band above. At the midpoint, this role pays about $205k versus about $159k for comparable roles.

Based on 240 similar postings.

Employer

About Samsung Electronics

Samsung Electronics is a South Korean multinational corporation and a global leader in technology, specializing in consumer electronics, semiconductors, and home appliances.

Samsung Electronics currently has 30 open roles on FindRole.

Listed pay typically runs $175,000–$225,000 across 27 roles with salary data.

Most-posted roles

View all roles at Samsung Electronics

At a glance

TL;DR

Samsung TV Plus is hiring a Senior Data Engineer to join its Data Analytics & Insights team, responsible for architecting, scaling, and optimizing the global data platform. This role involves designing high-performance data infrastructure, developing robust ETL/ELT pipelines using SQL and Python, and managing cloud data warehouses like Snowflake or BigQuery. The engineer will also establish data quality frameworks and collaborate with cross-functional teams in LA and Korea to ensure reliable datasets for advanced analytics and AI deployment. Required skills include extensive experience with cloud data warehousing, proficiency in Python and SQL, knowledge of dbt for data transformation, and expertise in pipeline orchestration tools like Apache Airflow. The ideal candidate has a background in data engineering or backend software engineering and familiarity with AWS infrastructure and CI/CD practices. Experience in digital media and adtech is preferred, as well as cross-cultural collaboration skills due to the global nature of the team.

What you'll do

  • Own the technical design, implementation, and scaling of enterprise cloud data warehouses.
  • Build and maintain robust batch and streaming data pipelines using SQL and Python.
  • Architect clean, modular analytics schemas to ensure reliable datasets for analysis.
  • Establish rigorous data quality frameworks and automated monitoring tests for reliability.
  • Mentor junior engineers and champion modern data stack methodologies across the organization.

What we're looking for

  • 8+ years of professional experience in data engineering or related field.
  • Extensive hands-on experience with cloud data warehouses like Snowflake.
  • Advanced proficiency in Python and SQL for analytical functions.
  • Production experience with dbt or similar SQL-based transformation frameworks.
  • Experience orchestrating complex pipelines using Apache Airflow or equivalent.
  • Practical experience with AWS ecosystem or comparable cloud platforms.
  • Deep understanding of data warehousing methodologies and Star schema design.

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