Senior Data Engineer, Defect Quality & Systems

Samsung Electronics

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Austin, TX
Salary: $106,000–$145,000 / yr
Employment: Full-time
Posted: 10 days ago
Freshness: Confirmed live yesterday
Closes: Sep 24, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $174k

This role $126k

$93k most similar roles pay here $227k

This role pays less than 87% of similar roles. Most pay $133,900–$214,150 — the shaded band above. At the midpoint, this role pays about $126k versus about $174k 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 81 open roles on FindRole.

Listed pay typically runs $115,000–$200,250 across 76 roles with salary data.

Most-posted roles

View all roles at Samsung Electronics

At a glance

TL;DR · Senior Data Engineer, Defect Quality & Systems

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Senior Data Engineer, Defect Quality & Systems joins a team focused on managing high-volume data within a 24/7 manufacturing environment to ensure reliability and scalability for factory success. The role involves architecting and optimizing the foundation of the data ecosystem by designing robust ETL/ELT pipelines that ingest massive streams from relational databases, APIs, and web services. You will be responsible for engineering data quality through cleaning and normalization, developing high-performance dashboards as a single source of truth, and mentoring junior team members in best practices. Key technical requirements include expert SQL proficiency for performance tuning, Python development for automation, and experience with big-data ecosystems, Kafka or RabbitMQ message brokers, and visualization tools like Tibco Spotfire or Tableau. The work centers on solving complex data discrepancies within semiconductor manufacturing workflows to provide actionable business intelligence.

What does a Data Engineer earn?

Median $162000 from 191 postings across 57 companies.

See salary data

Skills

SQL Python ETL ELT Kafka RabbitMQ Tableau Tibco Spotfire Big Data Data Visualization Relational Databases

What you'll do

Design, build, and monitor robust ETL/ELT pipelines to ingest massive data streams from diverse sources like APIs and databases.
Implement advanced data cleaning, augmentation, and normalization workflows to ensure high data integrity for modeling and analysis.
Partner with internal stakeholders to identify data gaps and integrate new sources into the factory's decision-making framework.
Create and maintain high-performance dashboards and key metrics to serve as a single source of truth for business decisions.
Lead data initiatives from initial conceptualization through deployment to ensure measurable business value.
Mentor junior team members in data engineering best practices, including clean code, scalable architecture, and documentation.
Perform database tuning, indexing, and query plan analysis to optimize performance within on-premise data stores.
Develop and optimize Python scripts to automate complex data workflows and troubleshoot existing code.

What we're looking for

BS or MS in Software Engineering, Computer Science, Data Science, Mathematics, or a related STEM/Engineering degree.
5+ years of relevant experience.
Mastery of SQL for handling high-volume data, complex aggregations, and performance tuning.
Proven track record of designing and modifying database schemas with an understanding of normalization and relational integrity.
Experience building interactive dashboards using Tibco Spotfire, Tableau, or similar tools.
Ability to troubleshoot, optimize, and extend Python code to automate data workflows.
Authorization to access information subject to U.S. export control laws.
Semiconductor industry experience (preferred).

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