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Micron Technology

Senior AI Automation Data Engineer

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay $150K - 215K a year · our estimate

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Description

The company makes memory and storage products and works to turn large amounts of data into usable intelligence.

The AI Automation and Data Engineering team builds scalable data platforms for analytics, AI and business automation. It works with engineering, operations and business groups to modernize data systems and support data-driven decisions.

This senior role centers on cloud data solutions, modernizing enterprise data environments, and building secure, governed data products that are ready for AI use.

Responsibilities

  • Build and maintain scalable pipelines and integration frameworks for structured and unstructured data.
  • Develop and tune cloud data solutions on Snowflake and on AWS and/or GCP.
  • Lead migrations off legacy data platforms and build ETL/ELT architectures.
  • Create AI-ready datasets and data products for analytics, machine learning, generative AI and automation.
  • Set up data governance, security, monitoring and CI/CD standards so platforms stay reliable and compliant.

Requirements

  • Hold a bachelor's degree in computer science, data engineering, information systems or a related technical field.
  • Have 5+ years of professional experience in data engineering, data platform development or closely related work.
  • Have 3+ years working with cloud data ecosystems and enterprise-scale data environments.
  • Have hands-on production experience with Snowflake, AWS and/or GCP, SQL and Python.
  • Have experience designing ETL/ELT pipelines, building data warehouses, and applying CI/CD and Infrastructure-as-Code practices.
  • Preferred: experience implementing modern architectures such as Data Fabric, Data Mesh or similar.
  • Preferred: experience supporting AI, machine learning, generative AI or retrieval-augmented generation (RAG) solutions.
  • Preferred: hands-on experience with at least one of dbt, Apache Airflow, Databricks, Apache Spark, Kafka, BigQuery or Redshift.
  • Preferred: experience with vector databases, semantic search, knowledge graphs or enterprise search technologies.
  • Preferred: previous experience supporting semiconductor manufacturing, industrial operations or large enterprise environments.

Conditions

The posting links to information about the right to work.

For US sites, requests for application assistance or reasonable accommodation go to the People Organization.

Benefits

  • Medical, dental and vision plans in all locations, so you can pick the coverage that fits your family and budget.
  • Income protection if you cannot work due to illness or injury, plus paid family leave.
  • A paid time-off program and paid holidays.
  • Full benefit details are in the benefits guide on the company careers site.

Where you’d work

From the office

About the company

Micron Technology

Office in United States

Also hiring in San Jose, United States and Austin, United States

4 of their 126 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 1 red flag

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13 checks

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1 red flag

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Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • AWS
  • dbt
  • Kafka
  • Spark
  • Databricks
  • Snowflake
  • Airflow
  • BigQuery
  • LLMs
  • RAG
  • Vector databases
Seniority
Senior
Type
Full-time
Specialty
Data Engineering
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Seniority
Senior
Experience
5+ years
Tech stack
  • Python
  • SQL
  • AWS
  • dbt
  • Kafka
  • Spark
  • Databricks
  • Snowflake
  • Airflow
  • BigQuery
  • LLMs
  • RAG
  • Vector databases

Location

Work model
Office
Region
United States
Office
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

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