Senior Data Engineer - Real-Time Pipelines & Quality

Samsung Electronics America; Austin (TX); On-site; USD 106,000 - 145,000; Full time

Benefits offered by this job

Medical, dental, and vision

Life insurance & 401(k)

Onsite café & gym

Parental leave

PTO + holidays

Wellness incentives

MBO bonuses

Job summary

Samsung Austin Semiconductor in Austin, TX is seeking a Senior Data Engineer to architect and optimize the data foundation for a 24/7 manufacturing environment, ensuring high-quality, high-performance data for engineers and data scientists.

You will build and monitor ETL pipelines, implement data quality workflows, collaborate on data strategy, and mentor teammates while advancing scalable, well-documented data infrastructure.

Qualifications

• BS or MS in related STEM field.
• 5+ years relevant experience; semiconductor industry preferred.
• Expert SQL proficiency for high-volume data.
• Database architecture and normalization knowledge.
• Data visualization dashboards (Tableau/Spotfire) for insights.
• Python development to automate data workflows.
• Analytical problem solving with attention to detail.
• Excellent communication with stakeholders.

Responsibilities

• Architect high-volume ETL/ELT pipelines ingesting data from diverse sources.
• Engineer data quality, cleaning, augmentation, and normalization workflows.
• Collaborate with internal customers to identify data gaps and sources.
• Develop dashboards and metrics serving as the single source of truth.
• Lead data initiatives from concept to deployment to deliver value.
• Mentor junior team members in best practices and documentation.

Skills

SQL

Python

ETL/ELT

Data Viz

Data Quality

Education

BS or MS in related STEM field

Tools

Tableau

Tibco Spotfire

Kafka

RabbitMQ

Job description

Samsung Austin Semiconductor in Austin, TX is seeking a Senior Data Engineer to architect and optimize the data foundation for a 24/7 manufacturing environment, ensuring high-quality, high-performance data for engineers and data scientists.

You will build and monitor ETL pipelines, implement data quality workflows, collaborate on data strategy, and mentor teammates while advancing scalable, well-documented data infrastructure.