Sr. Data Engineer

Samsung Electronics

Remote

Quick summary

Work type
Remote
Location
Mountain View, CA
Salary
$170,000–$170,000 / yr
Posted
2 days ago
Closes
Aug 31, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $170k
$115k most similar roles pay here $229k

This role pays more than 56% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $170k versus about $169k 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 39 open roles on FindRole.

Listed pay typically runs $175,000–$225,000 across 37 roles with salary data.

Most-posted roles

View all roles at Samsung Electronics

At a glance

TL;DR · Sr. Data Engineer

As a Senior Data Engineer at Samsung Ads, you will join the Performance & Reach engineering team to build and maintain high-performance data pipelines for large-scale advertising datasets. Your daily tasks include developing scalable solutions for ingestion, transformation, and analytics, optimizing Snowflake queries, and ensuring data quality through automated validation frameworks. You’ll work closely with Product, Data Science, Machine Learning, and Application Engineering teams to deliver robust data systems that support campaign delivery, reporting, and billing for global advertisers. The role requires expertise in Python (with GoLang and Java preferred), knowledge of Snowflake, Spark, SQL, Kafka, Flink, or Kinesis, and familiarity with workflow orchestration tools like Airflow. This position offers significant growth opportunities within a fast-paced environment that values innovation and collaboration across North America, Europe, and Asia.

What you'll do

  • Contribute to scalable data pipelines for ingestion, transformation, and analytics.
  • Develop and optimize data models for reporting, billing, and campaign delivery systems.
  • Build and maintain batch and real-time data processing workflows handling billions of events daily.
  • Ensure data quality through automated validation frameworks and reconciliation checks.
  • Optimize Snowflake queries for performance and cost efficiency.

What we're looking for

  • Bachelor's or Master’s degree in Computer Science, Data Science, Electrical Engineering, or related field
  • Programming experience in Python; GoLang and Java preferred
  • Understanding of data technologies including Snowflake, Spark, and SQL
  • Experience with streaming data systems such as Kafka, Flink, or Kinesis
  • Familiarity with workflow orchestration tools like Airflow or willingness to learn

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