Senior Data Engineer, GCP & Analytics Platform

Pearson; Denver (CO); On-site; USD 80,000 - 100,000; Full time

Job summary

Pearson is seeking a Data Engineer III to design, build, and scale enterprise data products on Google Cloud Platform. You will develop modern data pipelines, semantic models, and analytics solutions powering critical reporting, analytics, and AI use cases across Pearson.

The role involves building on DBT, Looker, and Power BI, applying Medallion architecture, and ensuring governance, security, and observability. Collaboration with multiple teams and strong cloud-native practices are essential.

Qualifications

• Strong data engineering background with cloud-native platforms.
• Proven experience on enterprise data products and analytics platforms.
• Experience with GCP and BigQuery is essential.

Responsibilities

• Design, build, and scale ELT pipelines on GCP using DBT.
• Develop data products with Bronze/Silver/Gold medallion layers.
• Build dbt models and analytics frameworks for Looker and Power BI.
• Optimize BigQuery models, datasets, and performance.
• Implement data quality, testing, and observability.
• Contribute to governance, security, and deployment processes.
• Collaborate with engineers, analytics teams, and stakeholders.
• Drive platform reliability and scalable engineering practices.
• Mentor engineers and promote best practices.

Skills

BigQuery

dbt Core

Advanced SQL

Python

REST API integration

Git / GitHub

Data modeling

Data quality

Performance tuning

Cloud-native architecture

AI agent frameworks

Looker / LookML

Power BI

Semantic modeling

KPI development

Dashboard optimization

DevOps

IaC

Monitoring & observability

Technical architecture docs

Peer reviews

Education

Bachelor's / Master’s in a relevant field

Job description

Pearson is seeking a Data Engineer III to design, build, and scale enterprise data products on Google Cloud Platform. You will develop modern data pipelines, semantic models, and analytics solutions powering critical reporting, analytics, and AI use cases across Pearson.

The role involves building on DBT, Looker, and Power BI, applying Medallion architecture, and ensuring governance, security, and observability. Collaboration with multiple teams and strong cloud-native practices are essential.