Staff Specialist, EHSS Data

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 [email protected]
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