Senior Data Engineer — AI‑Forward Data Pipelines

Insight Global; Seattle (WA); On-site; USD 130,000 - 190,000; Full time

Job summary

Insight Global is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines, integration frameworks, and foundational data architecture across a modern customer and enterprise data ecosystem. This role will work predominantly in Snowflake and Couchbase, with key integrations through MuleSoft and Adobe Journey Optimizer.

The ideal candidate blends hands-on engineering with architectural thinking and a bias for automation to deliver AI-ready data solutions.

Qualifications

• Bachelor’s degree in CS/IS/Engineering or related field.
• 5-7+ years in data engineering or related roles in enterprise environments.
• Hands-on Snowflake data modeling, SQL development, and performance tuning.
• Experience with Couchbase or similar NoSQL databases.
• Experience with MuleSoft integrations and API design.
• Hands-on data integration for Adobe Journey Optimizer/Adobe Experience Platform.
• Strong data architecture and distributed system design knowledge.
• Proficient in SQL and at least one modern language (Python/Java/JavaScript).
• Experience with REST APIs and event-driven architectures.
• Knowledge of data governance and privacy.
• Strong cross-team communication; able to influence solution design.
• Experience with Adobe Experience Platform schemas, identity concepts, datasets, segmentation/integration patterns.
• Experience with orchestration, DevOps, CI/CD, Git workflows, automation.
• Familiarity with streaming/near-real-time architectures.

Skills

SQL

Python/Java/JavaScript

Data modeling

Data pipelines

Cloud data architecture

Cross-team collaboration

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Snowflake

Couchbase

MuleSoft

Adobe Journey Optimizer

Adobe Experience Platform

CI/CD

Git-based workflows

Job description

Insight Global is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines, integration frameworks, and foundational data architecture across a modern customer and enterprise data ecosystem. This role will work predominantly in Snowflake and Couchbase, with key integrations through MuleSoft and Adobe Journey Optimizer.

The ideal candidate blends hands-on engineering with architectural thinking and a bias for automation to deliver AI-ready data solutions.