Senior Data Engineer II: ML, MLOps & Cloud Pipelines

HPCC Systems; Irving (TX); Presencial; USD 160.000 - 175.000; Jornada completa

Descripción de la vacante

RELX Inc. d/b/a LexisNexis USA in Irving, TX is seeking a Senior Data Engineer II to drive data pipeline development, ML API integration, and scalable data architectures. You will design data models, lead ETL workflows, and collaborate across teams to deliver robust data solutions.

The role requires strong experience in ML-based applications, APIs, cloud deployment, and container orchestration. You will mentor junior engineers and help advance data capabilities within a fast-paced environment.

Formación

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems or related field.
• 5 years of experience in data engineering or related occupations.
• Experience building ML-based applications and API integration for ML models.
• Experience designing and maintaining ETL workflows for large-scale data.
• Cloud infrastructure, deployment automation and containerization (Terraform, Docker, Kubernetes).

Responsabilidades

• Perform daily data loads with reliable logging and tracking.
• Interface with team members to document, interpret and finalize requirements.
• Write and review specifications for moderately complex components.
• Resolve data engineering bugs; identify root causes and fix issues.
• Mentor junior data engineers and train entry-level staff on best practices.

Conocimientos

Data engineering

ML APIs

ETL Pipelines

RESTful services

Cloud (AWS/GCP/Azure)

Educación

Bachelor's degree in CS/CE/IS

Herramientas

SQL/NoSQL databases

Solr

Elasticsearch

Pinecone

Terraform

Docker

Kubernetes

Triton Inference Server

Descripción del empleo

RELX Inc. d/b/a LexisNexis USA in Irving, TX is seeking a Senior Data Engineer II to drive data pipeline development, ML API integration, and scalable data architectures. You will design data models, lead ETL workflows, and collaborate across teams to deliver robust data solutions.

The role requires strong experience in ML-based applications, APIs, cloud deployment, and container orchestration. You will mentor junior engineers and help advance data capabilities within a fast-paced environment.