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Staff Specialist, EHSS Data

Pay
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Work setting
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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 posting
  • Design and maintain EHSS data models, source-to-target mappings, and transformation logic

  • Define data-quality controls, validation rules, and reconciliation processes

  • Translate approved business definitions into reusable, analytics-ready datasets

  • Validate data and perform root-cause analysis across sources, mappings and products

  • Maintain technical metadata, data dictionaries, and transformation specifications

From the employer’s posting
Design and maintain EHSS data models, source-to-target mappings, transformation logic, and technical data specifications.
Define and maintain data-quality controls, validation rules, reconciliation processes, and technical acceptance criteria.
Translate approved business definitions and rules into reusable, analytics-ready data structures and datasets.
Perform data validation, reconciliation, and root-cause analysis across source systems, mappings, transformations, and data products.
Maintain technical metadata, mapping documentation, data dictionaries, and transformation specifications.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Engineering, or a related technical discipline.
  • 6-10+ years of experience in data engineering, data modelling, data integration, business intelligence engineering, or related technical data roles.
  • Experience designing data models, source-to-target mappings, transformation logic, and technical data specifications.
  • Experience with data profiling, data-quality controls, reconciliation, validation, and structured testing.
  • Experience translating complex business requirements into precise, testable technical specifications.
  • Experience working with enterprise databases, cloud-based data environments, or data platforms.

Preferred experience

  • Experience with Snowflake, SQL Server, Google Cloud Platform (GCP), Azure Data Services, or comparable enterprise data platforms.
  • Experience validating production data products, data pipelines, or enterprise data solutions.
  • Experience supporting EHSS, Quality, Manufacturing, Supply Chain, or other regulated operational functions.
  • Experience with Git, Azure DevOps, or similar version-control and development-management tools.
Qualification wording
Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Engineering, or a related technical discipline.
6-10+ years of experience in data engineering, data modelling, data integration, business intelligence engineering, or related technical data roles.
Experience designing data models, source-to-target mappings, transformation logic, and technical data specifications.
Experience with data profiling, data-quality controls, reconciliation, validation, and structured testing.
Experience translating complex business requirements into precise, testable technical specifications.
Experience working with enterprise databases, cloud-based data environments, or data platforms.
Experience with Snowflake, SQL Server, Google Cloud Platform (GCP), Azure Data Services, or comparable enterprise data platforms.
Experience validating production data products, data pipelines, or enterprise data solutions.
Experience supporting EHSS, Quality, Manufacturing, Supply Chain, or other regulated operational functions.
Experience with Git, Azure DevOps, or similar version-control and development-management tools.
Education & alternatives
Requirements - Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Engineering, or a related technical discipline. - 6-10+ years of experience in data engineering, data modelling, data integration, business intelligence engineering, or related technical data roles.
Apply at Micron Technology

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Live
First seen by us
Oct 3, 202632 days ago
Recorded sightings
134
Last seen by us
Nov 4, 2026

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How this job compares

Time since we first saw it

Day 32

Similar jobs usually come down between day 6 and day 47.

At Micron Technology, jobs usually come down by about day 25.

From 1,417 similar postings that came down, and 105 of Micron Technology’s. Coming down is not always a hire.

Micron Technology is hiring

59 open jobs

Open jobs by the week we first saw them, last 12 weeks.

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  • Takes jobs down at a usual pace
  • 2% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • GCP
  • Snowflake
  • SQL Server
Where the posting names them
- Experience with Snowflake, SQL Server, Google Cloud Platform (GCP), Azure Data Services, or comparable enterprise data platforms. - Working proficiency in SQL and Python for data transformation, validation, automation, or data engineering activities. - Experience with Git, Azure DevOps, or similar version-control and development-management tools.
- 6-10+ years of experience in data engineering, data modelling, data integration, business intelligence engineering, or related technical data roles. - Advanced proficiency in SQL and relational database concepts. - Experience designing data models, source-to-target mappings, transformation logic, and technical data specifications.
Data Engineering & Platforms - Experience with Snowflake, SQL Server, Google Cloud Platform (GCP), Azure Data Services, or comparable enterprise data platforms. - Working proficiency in SQL and Python for data transformation, validation, automation, or data engineering activities.
- Understanding of how trusted data supports reporting, analytics, automation, AI-enabled solutions, and intelligent business processes. - Experience modernizing legacy databases, SQL logic, or manually managed data processes. Domain & Professional Experience
- Experience working in a global, cross-functional organization. - Relevant certifications in data engineering, Snowflake, SQL, Azure, GCP, or comparable data technologies About Micron Technology, Inc.
- Working proficiency in SQL and Python for data transformation, validation, automation, or data engineering activities. - Experience with Git, Azure DevOps, or similar version-control and development-management tools. - Experience with metadata, data-quality, data-catalogue, lineage, or data-governance capabilities.

Your next step

Complete your application on careers.micron.com. The employer’s form will show what is required.

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

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.

Global EHS & Sustainability is building a future-ready operating model founded on Trusted Data, AI Enablement, and Decision Intelligence.

As the Staff Specialist, EHSS Data, you will serve as the technical specialist for the EHSS data domain. You will partner with EHSS SMEs, SMAI, and IT to shape trusted data products, data models, and technical specifications that support reporting, analytics, AI, and operational decision-making.

You will provide the technical expertise needed to ensure EHSS data is reliable, reusable, well-governed, and aligned with approved business definitions and enterprise data practices.

Key Responsibilities

Build the EHSS Trusted Data Foundation

  • Design and maintain EHSS data models, source-to-target mappings, transformation logic, and technical data specifications.
  • Translate approved business definitions and rules into reusable, analytics-ready data structures and datasets.
  • Define and maintain data-quality controls, validation rules, reconciliation processes, and technical acceptance criteria.
  • Partner with EHSS SMEs to ensure technical implementation aligns with approved business definitions, metrics, and data standards.

Enable Trusted Data Products & Integration

  • Partner with SMAI and IT to shape EHSS data products, data pipelines, and technical data designs.
  • Represent EHSS in technical data reviews and ensure delivered data products meet business requirements and intended use.
  • Perform data validation, reconciliation, and root-cause analysis across source systems, mappings, transformations, and data products.
  • Support testing, deployment readiness, and sustainment activities for EHSS data products and data-related changes.

Steward Data Quality & Sustainability

  • Maintain technical metadata, mapping documentation, data dictionaries, and transformation specifications.
  • Develop reusable datasets and data assets that support reporting, analytics, automation, and AI-enabled solutions.
  • Identify opportunities to improve data quality, consistency, maintainability, traceability, and reuse.
  • Preserve critical EHSS data knowledge and support long-term sustainment of data assets and technical logic.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Engineering, or a related technical discipline.
  • 6-10+ years of experience in data engineering, data modelling, data integration, business intelligence engineering, or related technical data roles.
  • Advanced proficiency in SQL and relational database concepts.
  • Experience designing data models, source-to-target mappings, transformation logic, and technical data specifications.
  • Experience with data profiling, data-quality controls, reconciliation, validation, and structured testing.
  • Experience translating complex business requirements into precise, testable technical specifications.
  • Experience working with enterprise databases, cloud-based data environments, or data platforms.
  • Strong analytical and problem-solving skills, including investigation of complex data defects across systems, mappings, and data pipelines.
  • Strong communication skills and the ability to explain technical data concepts to non-technical stakeholders.

Preferred Qualifications

Data Engineering & Platforms

  • Experience with Snowflake, SQL Server, Google Cloud Platform (GCP), Azure Data Services, or comparable enterprise data platforms.
  • Working proficiency in SQL and Python for data transformation, validation, automation, or data engineering activities.
  • Experience with Git, Azure DevOps, or similar version-control and development-management tools.
  • Experience with metadata, data-quality, data-catalogue, lineage, or data-governance capabilities.

Enterprise Data & Digital Enablement

  • Experience validating production data products, data pipelines, or enterprise data solutions.
  • Familiarity with SAP, ServiceNow, or other enterprise business-system data structures.
  • Understanding of how trusted data supports reporting, analytics, automation, AI-enabled solutions, and intelligent business processes.
  • Experience modernizing legacy databases, SQL logic, or manually managed data processes.

Domain & Professional Experience

  • Experience supporting EHSS, Quality, Manufacturing, Supply Chain, or other regulated operational functions.
  • Familiarity with EHSS processes, management systems, sustainability reporting, or regulatory requirements.
  • Experience working in a global, cross-functional organization.
  • Relevant certifications in data engineering, Snowflake, SQL, Azure, GCP, or comparable data technologies

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 hrsupport_sg@micron.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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