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SR. DATA ENGINEER

Taoyuan - Fab 11, Taiwan

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What you’ll bring

All qualifications

Preferred experience

  • 6+ years' of experience in developing, delivering, and/or supporting data engineering and advanced analytics solutions.
  • Knowledge of web development frameworks (Angular, .NET Core) is a plus.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Experience with Manufacturing Execution Systems (MES) is a plus.
Qualification wording
6+ years' of experience in developing, delivering, and/or supporting data engineering and advanced analytics solutions.
Knowledge of web development frameworks (Angular, .NET Core) is a plus.
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Experience with Manufacturing Execution Systems (MES) is a plus.

Tools in this posting

  • Python
  • SQL
  • AWS
  • Azure
  • Google Cloud (GCP)
Source — Tool mentions in context
- Machine learning and other advanced analytical methods - Fluency in Python and SQL - GCP and/or another SQL databases
- Proven experience as a Data Engineer or in a similar role. - Proficiency in SQL, Python and database management. - Strong understanding of data warehousing concepts and ETL processes.
- Experience with cloud platforms like AWS, Azure, or Google Cloud. - Proficient in Python scripting with working knowledge of APIs. - Good to have experience on Data Migration Project
- Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. - Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. - Strong software development skills.
- Fluency in Python and SQL - GCP and/or another SQL databases - Experience with or desire to learn Google Cloud Vertex AI, AI/ML pipeline development, LLM applications, AI agents, Model Context Protocol (MCP), and skill/tool orchestration frameworks for enterprise AI solutions.
- 6+ years' of experience in developing, delivering, and/or supporting data engineering and advanced analytics solutions. - Experience with cloud platforms like AWS, Azure, or Google Cloud. - Proficient in Python scripting with working knowledge of APIs.
- GCP and/or another SQL databases - Experience with or desire to learn Google Cloud Vertex AI, AI/ML pipeline development, LLM applications, AI agents, Model Context Protocol (MCP), and skill/tool orchestration frameworks for enterprise AI solutions. - Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus

Job description

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Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

  • Design, build, and maintain scalable, reliable, and high-availability data platforms and data pipelines to support analytics and data-driven applications
  • Collaborate closely with data scientists, analysts, product teams, and software engineers to translate business requirements into robust and reusable data solutions
  • Own data modeling and data architecture design to ensure data consistency, accuracy, and long-term maintainability
  • Develop and optimize both batch and real-time (streaming) data processing pipelines to improve performance and system stability
  • Ensure data quality, data governance, and data security through monitoring, validation, and anomaly detection mechanisms
  • Continuously improve existing data pipelines and platforms through performance tuning, cost optimization, and technical debt reduction
  • Participate in technology selection for data platforms and tools (e.g., databases, cloud services, data processing frameworks) and promote engineering best practices
  • Create and maintain technical documentation to support knowledge sharing and long-term system sustainability
  • Mentor and support junior data engineers, contributing to the overall technical growth and engineering excellence of the team
  • Stay current with emerging trends and technologies in data engineering and big data, and evaluate their potential adoption and business value

Responsibilities include, but not limited to:

  • Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
  • Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
  • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
  • Strong software development skills.
  • Strong verbal and written communication skills.
  • Experience with or desire to learn:
  • Machine learning and other advanced analytical methods
  • Fluency in Python and SQL
  • GCP and/or another SQL databases
  • Experience with or desire to learn Google Cloud Vertex AI, AI/ML pipeline development, LLM applications, AI agents, Model Context Protocol (MCP), and skill/tool orchestration frameworks for enterprise AI solutions.
  • Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus

AI Relevant Job Responsibilities:  

- Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. 

- Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.  

- Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business

​Minimum Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.
  • Proven experience as a Data Engineer or in a similar role.
  • Proficiency in SQL, Python and database management.
  • Strong understanding of data warehousing concepts and ETL processes.
  • Familiarity with Agile methodology and tools such as JIRA, Git, Bitbucket, and Confluence.

Preferred Qualifications:

  • 6+ years' of experience in developing, delivering, and/or supporting data engineering and advanced analytics solutions.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Proficient in Python scripting with working knowledge of APIs.
  • Good to have experience on Data Migration Project
  • Knowledge of web development frameworks (Angular, .NET Core) is a plus.
  • Experience with Manufacturing Execution Systems (MES) is a plus.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact at hrsupport_taiwan@micron.com.

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.   

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on micron.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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Taoyuan - Fab 11, Taiwan

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Status in our records
Active
First seen by us
Apr 15, 2026
Recorded sightings
213
Last seen by us
Oct 9, 2026

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