Data Assurance Engineer
Listed on 2026-01-12
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IT/Tech
Data Security, Data Analyst, Data Engineer
Rochester Electronics, LLC provided pay range
This range is provided by Rochester Electronics, LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
Rochester Electronics is hiring immediately for a Data Assurance Engineer!At Rochester Electronics, we create an excellent employee experience focused on value, performance, motivation, recognition, and career growth. Many companies say their employees are their most important asset. At Rochester Electronics, we mean it!
- Outstanding low-cost medical, dental, vision, and prescription drug coverage, Rochester pays 92% of the premiums on behalf of its full‑time employees
- Paid time off, including vacation, sick, and holiday
- Generous match 401K program
- Tuition reimbursement
- Flexible spending account
For the last 40 years, Rochester Electronics, in partnership with over 70 leading semiconductor manufacturers, has provided our valued customers with a continuous source of critical semiconductors. As an original manufacturer stocking distributor, Rochester has over 15 billion devices in stock encompassing more than 200 000-part numbers, providing the world’s most extensive range of end‑of‑life (EOL) and broadest range of active semiconductors. As a licensed semiconductor manufacturer, Rochester has manufactured over 20 000 device types.
With over 12 billion die in stock, Rochester can manufacture over 70 000 device types.
The Data Assurance Engineer is responsible for identifying and mapping location and storage methods as well as data flow and end‑to‑end processes across the business ecosystem. This position documents and oversees the organization and storage of data, documents the utilization of both user and system data, and marks and tags data for effective data management, control, and auditing. Serve a critical role to ensure integrity, security, and availability of enterprise data to support various data retention and destruction obligations.
Professionally interface with stakeholders at various levels and locations across the Company. This may be a hybrid role with onsite presence required as needed or determined to support the Company.
- Design, develop and implement a Data Management and Classification program including identifying, labeling, and metadata tagging to enable consistent, efficient and effective governance of Company data with a focus on Manufacturing and Quality data.
- Develop consistent systems and solutions to efficiently support Manufacturing and Quality data retention and destruction requirements.
- Develop, document, and optimize data models to support analytics and business intelligence applications.
- Create and document data locations and flows at various levels (Architectural, Summary, Application level, etc.).
- Collaborate on the design and implementation of corporate data architectures with an emphasis on Manufacturing and Quality areas that support current and future data needs.
- Implement and monitor data handling practices, compliance validation, quality checks, and cleansing processes.
- Enforce data governance standards to support data security, compliance, and integrity as well as implement access control processes.
- Ensure solutions, policies, processes comply with frameworks and data regulations (such as GDPR, CUI, CMMC) and implement robust security measures.
- Verify availability, and enable cost optimization by implementing data de‑duplication, archiving and enforcement of written policies and procedures.
- Work closely across the Company including Manufacturing, Quality, Applications, and other business stakeholders to understand data requirements, provide technical guidance, and deliver effective solutions.
- Maintain clear and comprehensive documentation of data sources, pipelines, data flows, and processes to ensure transparency, repeatability, and knowledge sharing within the organization.
- Other duties as required.
- Research emerging IT technologies both within and outside of Data Assurance and Data Availability in Cyber Security: determine if any may fit or address a gap in the business; test and evaluate potential candidates;…
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