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Senior Data Engineer

Job in Cary, Wake County, North Carolina, 27518, USA
Listing for: ULSE
Full Time position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

SENIOR DATA ENGINEER

We have an exciting hybrid opportunity based in Raleigh‑Durham, NC or Evanston, IL, to support a diverse portfolio of standards and data science initiatives and advance UL Standards & Engagement’s mission to make the world safer, more secure, and sustainable.

Responsibilities
  • Design, build, and maintain scalable data architectures, platforms, and pipelines that support standards development, research, analytics, reporting, and AI‑driven initiatives across the organization.
  • Lead the collection, integration, and management of complex datasets from diverse sources, including APIs, structured XML and HTML standards content, relational databases, and unstructured information repositories.
  • Develop and optimize enterprise ETL/ELT processes to ensure the accuracy, consistency, availability, and performance of data assets used across analytical and operational environments.
  • Architect and implement robust data models, metadata frameworks, and data quality controls that support enterprise reporting, machine learning applications, and large language model initiatives.
  • Design and deploy production‑grade RAG infrastructure, including document ingestion, content chunking strategies, metadata enrichment, embedding generation, vector storage, and hybrid retrieval methodologies.
  • Evaluate, implement, and optimize database technologies and retrieval systems to support high‑performance search, semantic context retrieval, and AI‑enabled knowledge discovery.
  • Collaborate with business leaders, standards development subject matter experts, and technical teams to translate complex business challenges into scalable data solutions and infrastructure investments.
  • Establish and promote best practices for data governance, security, privacy, and lifecycle management while ensuring compliance with applicable regulations, intellectual property protections, and organizational standards.
  • Monitor, troubleshoot, and continuously improve data platform performance, reliability, scalability, and operational efficiency.
  • Contribute to the development and execution of data strategy, identifying opportunities to expand organizational capabilities through modern data engineering practices and emerging technologies.
  • Mentor and provide technical guidance to data engineers, analysts, and cross‑functional team members, fostering adoption of scalable engineering standards and best practices.
  • Prepare and maintain technical documentation, architectural designs, and implementation roadmaps that support knowledge sharing and long‑term sustainability of data platforms.
  • Make notable contributions to shared team goals and independently manage workload effectively, using appropriate communication and adherence to deliverable and timeline expectations.
  • Maintain continued awareness of industry trends and external context related to the portfolio.
  • Perform other duties as directed.
Qualifications
  • Advanced application of data engineering principles, including data architecture, integration, modeling, governance, and large‑scale pipeline development within complex technical environments.
  • Strong technical aptitude in modern cloud‑based data platforms, database technologies, distributed processing frameworks, and AI‑enabled data infrastructure.
  • Demonstrated expertise in designing scalable solutions that support advanced analytics, machine learning, large language models, and Retrieval‑Augmented Generation applications.
  • Proficiency in project management with experience developing project timelines, scope, and managing project resources; ability to apply independent judgement in selecting methods, assessing results, and refining solutions.
  • Strong communication and engagement skills, with ability to convey complex information to various stakeholder groups, including technical and non‑technical audiences.
  • Positive and collaborative interpersonal skills, with proven capability in fostering collaboration and partnership across teams to develop solutions with broad impact.
  • Commitment to continuous learning, technical excellence, and the adoption of emerging technologies that strengthen organizational capabilities and business outcomes.
  • Strategic thinker with ability…
Position Requirements
10+ Years work experience
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