Micron
Senior AI Automation Data Engineer
Boise, ID - Main Site · Senior · Full-time · Posted Oct 23, 2026
- Experience
- 5+ years in data engineering, data platform development, or related subject areas; 3+ years working with cloud-based data ecosystems and enterprise-scale data environments.
- Education
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
About the job
Designs and scales secure, governed cloud data platforms and AI-ready data products for analytics, AI, automation, and digital transformation.
What you'll do
- Build and maintain scalable pipelines and integration frameworks for structured and unstructured data.
- Modernize legacy platforms and develop cloud data solutions using Snowflake and AWS and/or GCP.
- Create AI-ready data products and establish governance, security, monitoring, and CI/CD practices.
What they ask for
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
- Hands-on production experience with Snowflake, AWS and/or GCP, SQL, and Python.
- Experience designing ETL/ELT pipelines, implementing data warehousing, and applying CI/CD and Infrastructure-as-Code methodologies.
Nice to have
- Experience with Data Fabric, Data Mesh, AI/ML, generative AI, RAG, or vector databases and related search technologies.
- Experience with at least one of dbt, Apache Airflow, Databricks, Apache Spark, Kafka, BigQuery, or Redshift.
Tools
Snowflake, AWS, GCP, SQL, Python, dbt, Apache Airflow, Databricks
AI focus
Develop AI-ready datasets and data products supporting analytics, machine learning, generative AI, and automation; preferred experience includes RAG solutions.
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