Senior Data Engineer: Real-Time Data Pipelines & BI

Samsung Electronics

Austin (TX)

On-site

USD 106,000 - 145,000

Full time

9 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
401(k) Matching
Onsite Fitness Center
Paternity Leave
PTO + Holidays
Wellness Programs

Job summary

Samsung Austin Semiconductor is seeking a Senior Data Engineer to architect and optimize the data ecosystem in a 24/7 manufacturing environment. You will design scalable pipelines, ensure data quality, and enable data scientists and engineers with fast, reliable access to data.

The role emphasizes mentoring, clean code, and robust data infrastructure, with a base salary range of $106,000–$145,000 and comprehensive benefits. On-site, full-time, with opportunities for impact across the factory.

Qualifications

  • BS or MS in Software Engineering, Computer Science, Data Science, Mathematics or related STEM/Engineering degree.
  • 5+ years of relevant data engineering experience.

Responsibilities

  • Architect and monitor high-volume ETL/ELT pipelines across diverse internal sources (RDBMS, APIs, web services).
  • Implement advanced data cleaning, augmentation, and normalization workflows for data quality.
  • Collaborate with internal customers to identify data gaps and integrate new sources.
  • Develop high-performance dashboards and metrics serving as a single source of truth for business decisions.
  • Lead data initiatives from concept to deployment delivering measurable business value.
  • Mentor junior data engineers and promote clean code, scalable architecture, and thorough documentation.

Skills

SQL expertise
Database design
Data visualization
Python
Analytical problem solving
Communication
5+ years experience

Education

BS or MS in Computer Science, Software Engineering, Data Science or related STEM

Tools

Kafka
RabbitMQ
Tableau
Tibco Spotfire

Job description

Samsung Austin Semiconductor is seeking a Senior Data Engineer to architect and optimize the data ecosystem in a 24/7 manufacturing environment. You will design scalable pipelines, ensure data quality, and enable data scientists and engineers with fast, reliable access to data.

The role emphasizes mentoring, clean code, and robust data infrastructure, with a base salary range of $106,000–$145,000 and comprehensive benefits. On-site, full-time, with opportunities for impact across the factory.

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