Senior Data Engineer II

Senior Data Engineer II at RELX in Irving, TX (hybrid) focuses on data engineering, complex data models, ETL workflows, and ML-based application work.

Responsibilities

• Run daily data loads, ensuring recurring updates are logged and tracked
• Collaborate with technical team members to document, interpret, and finalize requirements
• Develop efficient, repeatable code with a focus on defect-free delivery and best practices (naming conventions, encapsulation)
• Draft and review parts of detailed specifications for system components of moderate complexity
• Perform complex data engineering bug fixes, researching and identifying root causes as needed
• Partner with other development team members to translate complex product requirements into data engineering and/or data management designs
• Drive process improvements to support efficient delivery and maintenance
• Apply development processes, coding best practices, and participate in code reviews
• Operate in multiple development environments, including Agile and Waterfall, with key stakeholders
• Identify opportunities to collaborate with other teams and peers to improve overall quality, capabilities, and efficiency
• Train entry-level data engineers as directed by department management, including mentoring junior engineers on methodologies and optimization techniques
• Stay current on new technology developments
• Design and work with complex data models
• Perform other duties as needed

Requirements

• Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Systems, or a related field (required)
• 5 years of experience in the job offered or related occupations (required)
• 5 years experience with ML-based application development & API integration:
  • Build software features relying on machine-learning models
  • Integrate ML models into applications via APIs for automatic data exchange and predictions
  • Convert research-grade ML models into stable, scalable services accessible by other applications and users
  • Build and deploy ML-based applications, including design and integration of ML APIs
• 5 years experience with data engineering & ETL pipelines:
  • Design automated workflows to extract data from multiple sources
  • Transform data into usable formats and load into databases or ML systems
  • Ensure large volumes of structured and unstructured data are cleaned, validated, and delivered reliably for analytics and machine-learning purposes
  • Design and maintain ETL workflows for large-scale data processing
• 5 years experience utilizing database & vector store technologies:
  • Use SQL/NoSQL databases and/or vector databases
  • Examples include Solr, Elasticsearch, or Pinecone
• 5 years experience with cloud infrastructure, deployment automation & containerization:
  • Deploy and operate applications on cloud platforms using automated tools for scalability and maintainability
  • Deploy on AWS, Azure, and GCP
  • Use infrastructure-as-code tools such as Terraform
  • Use containerization technologies such as Docker
• 5 years experience utilizing orchestration tools such as Kubernetes:
  • Automatically manage, deploy, and scale containerized applications
  • Ensure availability, quick recovery from failures, and safe updates or rollbacks
• 5 years experience with MLOps & model deployment:
  • Deploy ML models using frameworks such as KubeRay, Triton Inference Server, or similar orchestration tools

Technologies

• ML-Based Application Development
• API Integration
• Machine-learning models
• ETL Pipelines
• Solr
• Elasticsearch
• Pinecone
• SQL
• NoSQL
• Vector databases
• AWS
• Azure
• GCP
• Terraform
• Docker
• Kubernetes
• MLOps
• KubeRay
• Triton Inference Server
• Agile
• Waterfall

Benefits

• Standard company benefits
• Country specific benefits

How to Apply

• Send email to [email protected]
• Reference job code: R119869

Compensation

• Salary: USD 95,300 - 174,600 per year
• REQ # R119869 salary range: $160,285.00 to $174,600.00/year + standard company benefits
• U.S. national base pay range: $95,300 - $158,800/year (geographic differentials may apply)