> Markdown version of [/jobs/ext/3371517-customer-data-traceability-engineer](https://www.wearedevelopers.com/jobs/ext/3371517-customer-data-traceability-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Customer Data Traceability Engineer - **Company:** Renesas Electronics America Inc. - **Location:** Palm Bay, FL, United States - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Information Systems, Computer Programming, Databases, Customer Data Management, Data Validation, Data Dictionary, Information Engineering, Data Files, Data Governance, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Meta-Data Management, Metadata Repositories, Software Engineering, SQL Databases, Information Technology, Data Lineage, Software Version Control, Data Pipelines, Automation Anywhere - **Published:** September 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=dedff30b8a386717 ## About the Role * Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, Electrical Engineering, or a related field * Foundational programming skills in Python, SQL, or a similar language through coursework, internships, or projects * Basic understanding of databases, data pipelines, data modeling, and AI/ML concepts Preferred: * Academic, internship, or project experience with cloud platforms, data catalogs, ETL/ELT tools, or version control * Exposure to data lineage, metadata management, responsible AI, semiconductor data, or quality systems, * Curiosity and willingness to learn * Attention to detail and data accuracy * Analytical thinking and problem-solving * Clear written and verbal communication * Teamwork, accountability, and adaptability ## Description Renesas Electronics America, Inc. is looking for a Data Traceability Engineer to support the development and maintenance of data traceability solutions with artificial intelligence and analytics applications. This entry-level role works with Customer Quality, Engineering, Product, and Operations teams to help organize, connect, and validate data used to improve product quality, customer insights, and operational decision-making. The successful candidate will apply foundational skills in data engineering, AI/ML concepts, and software development to support data lineage, metadata management, dataset quality, and end-to-end traceability. The role provides hands-on learning opportunities under the guidance of experienced engineers. Key Responsibilities * Assist in building and maintaining data pipelines that capture AI dataset lineage and processing history * Document data sources, transformations, ownership, versions, and usage across AI workflows * Support metadata catalogs, data dictionaries, and traceability dashboards * Perform data validation and investigate missing, inconsistent, or incorrectly linked records * Help develop scripts and tools that automate data lineage, audit trails, and traceability checks * Assist with monitoring dataset quality and resolving traceability issues with engineering teams * Collaborate with cross-functional stakeholders to understand data and reporting requirements * Follow data governance, security, privacy, and quality standards