Sr. Data Engineer

Samsung Electronics

Remote

Quick summary

Work type: Remote
Location: Los Angeles, CA
Salary: $180,000–$230,000 / yr
Posted: 16 days ago
Closes: Dec 31, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k

This role $205k

$127k most similar roles pay here $241k

This role pays more than 77% of similar roles. Most pay $140,418–$201,137 — the shaded band above. At the midpoint, this role pays about $205k versus about $171k 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 41 open roles on FindRole.

Listed pay typically runs $175,000–$222,500 across 40 roles with salary data.

Most-posted roles

View all roles at Samsung Electronics

At a glance

TL;DR · Sr. Data Engineer

Apply Now Log in to save

Samsung TV Plus is hiring a Senior Data Engineer to join its Data Analytics & Insights team, responsible for architecting and scaling the company’s 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. Essential 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 such as Apache Airflow. The ideal candidate has a background in data engineering or backend software engineering, with a deep understanding of data warehousing methodologies and cross-cultural collaboration experience.

Skills

Snowflake Python SQL dbt Apache Airflow AWS Terraform CI/CD Data Warehousing Star Schema PowerBI Tableau

What you'll do

Own the technical design, implementation, and scaling of enterprise cloud data warehouses and storage platforms.
Build and maintain robust ETL/ELT pipelines for high-volume global streaming datasets using SQL and Python.
Architect clean, modular analytics schemas to ensure reliable, analysis-ready datasets.
Establish rigorous data quality frameworks and automated monitoring tests for end-to-end pipeline reliability.
Mentor junior engineers and champion modern data stack methodologies across the organization.
Collaborate with cross-functional stakeholders to translate complex business logic into scalable data systems.

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.

Similar roles

Sr. Data Engineer

Samsung Electronics

Remote (Los Angeles, CA) 16 days ago $180,000–$230,000

Snowflake Python SQL dbt Apache Airflow AWS Terraform CI/CD Data Warehousing Star Schema Data Modeling Cloud Infrastructure Infrastructure as Code Pipeline Orchestration Data Observability Data Governance

Remote

Save