Jobs
Required Skills
Big Data Engineering
ETL/ELT
SQL
Python
Data Warehouse Modeling
API Development
Data Analysis
**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.
As a Big Data Engineer at Micron Technology Inc., you will be a key member of a multi-functional team responsible for developing and growing Micron’s methods and systems for extracting new insight for our expanding data streams. You will be collaborating with data scientists, engineers, technicians and data mining teams to design and implement systems to extract data from Micron’s business systems, transforming it into an actionable format, and as needed, creating dynamic presentation layers for use by high-level engineers and managers throughout the company. You will be creating new solutions, as well as, supporting, configuring, and improving existing solutions.
Responsibilities:
- Build and maintain data/solution pipelines that ingested and match the new requirements, with AI support to accelerate data onboarding and quality checks.
- Work in a technical team through development, deployment, and application of preparing, and optimizing the developing and growing Micron’s methods and systems for extracting new insight for expanding data streams, driving AI-enabled analytics at scale.
- Design and optimize data structures in data management systems (Snowflake, and Cloud platforms) to enable SMAI solutions, supporting AI-driven workloads and performance.
- Build custom software components and analytics applications, with AI support to enhance intelligence and automation.
- Create/Maintain CI/CD pipelines of data engineering solutions in the cloud, driving AI-informed testing, monitoring, and release automation.
- Use AI to complete work more efficiently, empowering AI applications and teams to achieve faster, smarter outcomes.
Qualifications & Skills:
- Understanding of Big Data Engineering/processing,Business Intelligence and Advanced analytics
- Developing ETL/ELT processes
- Knowledge in databases and Data warehouse modeling
- Knowledge in building APIs for application integration
- Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical Data Model
- Work with Data Scientists to implement strategies for cleaning and preparing data for analysis, to develop data imputation algorithms, and optimize performance of big data systems
- Familiarity with software architecture (data structures, data schemas, etc.).
- Experience with continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes)
- Experience developing Machine Learning or A.I. solutions with either Python, AWS, AZURE, GCP
- Outstanding analytical thinking, interpersonal, oral and written communication skills
- Ability to prioritize and meet critical project timelines in a fast-paced environment
- Self-motivated and team oriented
- Preferred:
- Software development skills and the desire to work on cutting edge development in a Cloud environment
Education and Experience:
- Big Data Engineering and Processing.
- Develop ETL/ELT processing using Apache Ni-Fi
- Strong background on SQL and databases
- Programming Skills in Python or Scala
- Data Analysis and Validation skills
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_taiwanmicron.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.
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About Micron

Micron
PublicMicron Technology is a global leader in memory and storage solutions, manufacturing DRAM, NAND flash memory, and solid-state drives for computing, mobile, automotive, and data center applications.
10,001+
Employees
Boise
Headquarters
$100B
Valuation
Reviews
3.5
3 reviews
Work Life Balance
2.0
Compensation
4.0
Culture
2.0
Career
4.0
Management
1.5
Pros
Good learning opportunities
High salary/good pay
Multiple positions available
Cons
Poor work-life balance
Excessive overtime
Management disagreements
Salary Ranges
37 data points
Junior/L3
Mid/L4
Junior/L3 · Business Intelligence Analyst
1 reports
$115,042
total / year
Base
$100,037
Stock
-
Bonus
-
$115,042
$115,042
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview
4
Final Round Interview
5
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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