Senior AI Automation Data Engineer
Boise, ID - Main Site
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, develop, and maintain scalable data pipelines and integration frameworks for structured and unstructured data.
Build and optimize cloud-based data solutions using Snowflake and AWS and/or GCP technologies.
Lead modernization efforts by migrating legacy data platforms and implementing ETL/ELT architectures.
From the employer’s posting
Responsibilities: Design, develop, and maintain scalable data pipelines and integration frameworks for structured and unstructured data. Build and optimize cloud-based data solutions using Snowflake and AWS and/or GCP technologies.
Design, develop, and maintain scalable data pipelines and integration frameworks for structured and unstructured data. Build and optimize cloud-based data solutions using Snowflake and AWS and/or GCP technologies. Lead modernization efforts by migrating legacy data platforms and implementing ETL/ELT architectures.
Build and optimize cloud-based data solutions using Snowflake and AWS and/or GCP technologies. Lead modernization efforts by migrating legacy data platforms and implementing ETL/ELT architectures. Develop AI-ready datasets and data products that enable analytics, machine learning, generative AI, and automation initiatives.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
- 5+ years of professional experience in data engineering, data platform development, or related subject areas.
- 3+ years of experience working with cloud-based data ecosystems and enterprise-scale data environments.
- Hands-on experience with Snowflake, AWS and/or GCP, SQL, and Python in production environments.
- Experience designing ETL/ELT pipelines, implementing data warehousing solutions, and applying CI/CD and Infrastructure-as-Code methodologies.
Preferred experience
- Experience implementing modern data architectures such as Data Fabric, Data Mesh, or similar frameworks.
- Experience supporting AI, machine learning, generative AI, or retrieval-augmented generation (RAG) solutions.
- Hands-on experience with at least one of the following: dbt, Apache Airflow, Databricks, Apache Spark, Kafka, BigQuery, or Redshift.
- Experience working with vector databases, semantic search, knowledge graphs, or enterprise search technologies.
Qualification wording
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
5+ years of professional experience in data engineering, data platform development, or related subject areas.
3+ years of experience working with cloud-based data ecosystems and enterprise-scale data environments.
Hands-on experience with Snowflake, AWS and/or GCP, SQL, and Python in production environments.
Experience designing ETL/ELT pipelines, implementing data warehousing solutions, and applying CI/CD and Infrastructure-as-Code methodologies.
Experience implementing modern data architectures such as Data Fabric, Data Mesh, or similar frameworks.
Experience supporting AI, machine learning, generative AI, or retrieval-augmented generation (RAG) solutions.
Hands-on experience with at least one of the following: dbt, Apache Airflow, Databricks, Apache Spark, Kafka, BigQuery, or Redshift.
Experience working with vector databases, semantic search, knowledge graphs, or enterprise search technologies.
Education & alternatives
Minimum Qualifications: - Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field. - 5+ years of professional experience in data engineering, data platform development, or related subject areas.
Tools in this posting
- Python
- SQL
- AWS
- BigQuery
- Databricks
- dbt
- GCP
- Kafka
- Redshift
- Snowflake
- Spark
- Airflow
Source — Tool mentions in context
- 3+ years of experience working with cloud-based data ecosystems and enterprise-scale data environments. - Hands-on experience with Snowflake, AWS and/or GCP, SQL, and Python in production environments. - Experience designing ETL/ELT pipelines, implementing data warehousing solutions, and applying CI/CD and Infrastructure-as-Code methodologies.
- Design, develop, and maintain scalable data pipelines and integration frameworks for structured and unstructured data. - Build and optimize cloud-based data solutions using Snowflake and AWS and/or GCP technologies. - Lead modernization efforts by migrating legacy data platforms and implementing ETL/ELT architectures.
- Experience supporting AI, machine learning, generative AI, or retrieval-augmented generation (RAG) solutions. - Hands-on experience with at least one of the following: dbt, Apache Airflow, Databricks, Apache Spark, Kafka, BigQuery, or Redshift. - Experience working with vector databases, semantic search, knowledge graphs, or enterprise search technologies.
Posting record
Report an errorActively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 19, 2026 · 10 days ago
- Recorded sightings
- 29
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay 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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Job description
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.
About our Team:
Micron’s AI Automation and Data Engineering team drives enterprise data strategy and innovation by delivering scalable data platforms that power advanced analytics, artificial intelligence, and business automation. The team partners across engineering, operations, and business functions to modernize data ecosystems and enable data-driven decision making.
Position Overview:
Micron is seeking a Senior AI Automation Data Engineer to design, build, and scale modern enterprise data platforms that support AI, automation, analytics, and digital transformation initiatives. This role will focus on cloud-based data solutions, enterprise data modernization, and the development of secure, governed, and AI-ready data products!
Responsibilities:
- Design, develop, and maintain scalable data pipelines and integration frameworks for structured and unstructured data.
- Build and optimize cloud-based data solutions using Snowflake and AWS and/or GCP technologies.
- Lead modernization efforts by migrating legacy data platforms and implementing ETL/ELT architectures.
- Develop AI-ready datasets and data products that enable analytics, machine learning, generative AI, and automation initiatives.
- Establish data governance, security, monitoring, and CI/CD standard processes to ensure reliable and compliant data platforms.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
- 5+ years of professional experience in data engineering, data platform development, or related subject areas.
- 3+ years of experience working with cloud-based data ecosystems and enterprise-scale data environments.
- Hands-on experience with Snowflake, AWS and/or GCP, SQL, and Python in production environments.
- Experience designing ETL/ELT pipelines, implementing data warehousing solutions, and applying CI/CD and Infrastructure-as-Code methodologies.
Preferred Qualifications:
- Experience implementing modern data architectures such as Data Fabric, Data Mesh, or similar frameworks.
- Experience supporting AI, machine learning, generative AI, or retrieval-augmented generation (RAG) solutions.
- Hands-on experience with at least one of the following: dbt, Apache Airflow, Databricks, Apache Spark, Kafka, BigQuery, or Redshift.
- Experience working with vector databases, semantic search, knowledge graphs, or enterprise search technologies.
- Previous experience supporting semiconductor manufacturing, industrial operations, or large-scale enterprise environments.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
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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Boise, ID - Main Site
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