Job description

About Samsung Austin Semiconductor Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow. Come innovate with us! Position Summary We are seeking a Senior Data Engineer to architect and optimize the foundation of our data ecosystem. In a 24/7 manufacturing environment generating terabytes of data, the reliability and scalability of our data pipelines are critical to factory success. In this role, you will not just move data; you will design the systems that ensure our engineers and data scientists have high-quality, high-performance data at their fingertips. You will bridge the gap between raw internal systems and actionable business intelligence, evolving our infrastructure from concept to high-impact reality while mentoring the next generation of data talent. What Will Make You Stand Out: Performance Optimization: ETL troubleshooting and database tuning, including a mastery of indexing and query plan analysis. Big Data Ecosystems: Hands-on experience deploying and managing big-data technologies Real-Time Streaming: Proficiency with event-streaming architectures and message brokers like Kafka or RabbitMQ. Continuous Improvement Mindset: A passion for researching emerging data technologies and proactively optimizing existing logic to reduce latency and storage size. Domain Knowledge: Familiarity with semiconductor process terminology and manufacturing workflows. Role and Responsibilities Here’s What You’ll Be Responsible For: Architect High-Volume Pipelines : Design, build, and monitor robust ETL/ELT pipelines that ingest massive data streams from diverse internal sources, including relational databases, APIs, and web services. Engineer Data Quality : Implement advanced data cleaning, augmentation, and normalization workflows to ensure data integrity and prepare datasets for modeling and analysis. Collaborate on Data Strategy : Partner with internal customers to identify data gaps and integrate new sources, directly expanding the factory s decision-making capabilities. Develop Visual Intelligence : Create and maintain high-performance dashboards and key metrics that serve as the single source of truth for business decisions across the factory. Drive End-to-End Impact : Lead data initiatives from initial conceptualization through to deployment, ensuring the final data product delivers measurable business value. Elevate Technical Standards : Mentor junior team members in data engineering best practices, promoting a culture of clean code, scalable architecture, and rigorous documentation. Skills and Qualifications Here s what you ll need: Education : BS or MS in Software Engineering, Computer Science, Data Science, Mathematics or related STEM/Engineering degree. Experience : 5 years relevant experience. Semiconductor industry highly preferred but not required Expert SQL Proficiency : Mastery of SQL for handling high-volume data, complex aggregations, and performance tuning within on-premise data stores. Database Architecture : A proven track record of designing and modifying database schemas, with a deep understanding of normalization, data types, and relational integrity. Data Visualization : Experience building interactive, user-centric dashboards (Tibco Spotfire, Tableau, or similar) that make complex data insights immediately visible. Python Development : Ability to troubleshoot, optimize, and extend existing Python code to automate data workflows. Analytical Problem Solving : A disciplined approach to root-cause analysis and a relentless attention to detail when debugging complex data discrepancies. Communication Excellence : The ability to translate technical infrastructure challenges into business terms for stakeholders at all levels of the organization. The current base salary range for this role is between $106,000 - $145,000. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance. Total Rewards At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location. We offer a comprehensive benefits package, including: Medical, dental, and vision insurance Life insurance and 401(k) matching with immediate vesting Onsite café(s) and workout facilities Paid maternity and paternity leave Paid time off (PTO) 2 personal holidays and 10 regular holidays Wellness incentives and MORE Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance. All positions at Samsung Austin Semiconductor are full-time on-site. U.S. Export Control This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization. Trade Secrets By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here . * Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Requirements

Must-haves

Performance Optimization: ETL troubleshooting and database tuning, including a mastery of indexing and query plan analysis.
Big Data Ecosystems: Hands-on experience deploying and managing big-data technologies
Real-Time Streaming: Proficiency with event-streaming architectures and message brokers like Kafka or RabbitMQ.
Continuous Improvement Mindset: A passion for researching emerging data technologies and proactively optimizing existing logic to reduce latency and storage size.
Domain Knowledge: Familiarity with semiconductor process terminology and manufacturing workflows.
Role and Responsibilities
Architect High-Volume Pipelines : Design, build, and monitor robust ETL/ELT pipelines that ingest massive data streams from diverse internal sources, including relational databases, APIs, and web services.
Engineer Data Quality : Implement advanced data cleaning, augmentation, and normalization workflows to ensure data integrity and prepare datasets for modeling and analysis.
Collaborate on Data Strategy : Partner with internal customers to identify data gaps and integrate new sources, directly expanding the factory s decision-making capabilities.
Develop Visual Intelligence : Create and maintain high-performance dashboards and key metrics that serve as the single source of truth for business decisions across the factory.
Drive End-to-End Impact : Lead data initiatives from initial conceptualization through to deployment, ensuring the final data product delivers measurable business value.
Elevate Technical Standards : Mentor junior team members in data engineering best practices, promoting a culture of clean code, scalable architecture, and rigorous documentation.
Skills and Qualifications
Education : BS or MS in Software Engineering, Computer Science, Data Science, Mathematics or related STEM/Engineering degree.
Experience : 5 years relevant experience.
Expert SQL Proficiency : Mastery of SQL for handling high-volume data, complex aggregations, and performance tuning within on-premise data stores.
Database Architecture : A proven track record of designing and modifying database schemas, with a deep understanding of normalization, data types, and relational integrity.
Data Visualization : Experience building interactive, user-centric dashboards (Tibco Spotfire, Tableau, or similar) that make complex data insights immediately visible.
Python Development : Ability to troubleshoot, optimize, and extend existing Python code to automate data workflows.
Analytical Problem Solving : A disciplined approach to root-cause analysis and a relentless attention to detail when debugging complex data discrepancies.
Communication Excellence : The ability to translate technical infrastructure challenges into business terms for stakeholders at all levels of the organization.

Nice-to-haves

Semiconductor industry highly preferred but not required

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpython

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Wellness