Package DDQA Data Analytics Engineer (ML & Automation)

1000 Micron Technology, Inc.; Idaho City (ID); On-site; USD 120,000 - 155,000; Full time

Benefits offered by this job

Medical, dental, vision plans

Paid time off

Paid holidays

Job summary

Micron Technology, Inc. seeks data and automation specialists to advance risk assessment, data ingestion, and AI-powered insights. You will set up databases, build pipelines, and deliver data-driven solutions across internal and customer platforms.

The role requires ML with Python, OO programming (Python/Java/C++), SQL knowledge, and full-stack web skills. Collaborative work with engineering and analytics teams is essential, with strong emphasis on data visualization and reporting.

Qualifications

• Statistical modeling and machine learning using Python.
• Software quality assurance methodologies and SDLC.
• OO programming in Python/Java/C++ with design principles.
• SQL, relational databases, and data modeling.
• Full-stack web development with HTML/CSS/JS and modern frameworks.
• Designing algorithms and data structures.
• Cloud computing, AWS, distributed systems, and networking fundamentals.

Responsibilities

• Develop automation, data ingestion and reporting tools.
• Pull, analyze and visualize data for problem solving and risk assessment.
• Collaborate with engineering to map DDQA data streams.
• Provide recommendations on root cause findings and product risk.
• Mentor and share best practices with global analytics teams.

Skills

ML with Python

QA methodologies

Python

Java

C++

SQL

Full-stack web dev

React/Angular

Algorithms & data structures

Cloud AWS

Distributed systems

Networking fundamentals

Education

Master’s degree in Computer Science or related field

Job description

Micron Technology, Inc. seeks data and automation specialists to advance risk assessment, data ingestion, and AI-powered insights. You will set up databases, build pipelines, and deliver data-driven solutions across internal and customer platforms.

The role requires ML with Python, OO programming (Python/Java/C++), SQL knowledge, and full-stack web skills. Collaborative work with engineering and analytics teams is essential, with strong emphasis on data visualization and reporting.