Sr. Data Engineer (LATAM)

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

Job Description

We are 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 being through MuleSoft and Adobe Journey Optimizer. The ideal candidate combines strong hands‑on engineering depth with sound architectural thinking, a product mindset, a bias for automation, and an AI‑forward approach to designing intelligent, future‑ready data solutions.

We are looking for someone who actively embraces AI as a core part of modern engineering. This person should be curious about how generative AI, intelligent automation, and emerging platform capabilities can improve developer productivity, strengthen data quality, accelerate delivery, and unlock new business value. The right candidate will evaluate AI‑enabled tools pragmatically, design data foundations that are AI‑ready, and help the organization adopt scalable, secure, and responsible approaches to AI‑powered data and integration solutions.

Success Profile

• Thrives in complex, cross‑platform environments and can balance strategic thinking with hands‑on execution.
• Brings strong ownership, sound judgment, and a continuous improvement mindset.
• Understands how to engineer for scalability, maintainability, resilience, and business impact.
• Can bridge the gap between data platforms, operational systems, and customer engagement technologies.
• Acts as a force multiplier through mentorship, documentation, and reusable engineering practices.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
• 5-7+ years of experience in data engineering, integration engineering, platform engineering, or solution architecture roles in enterprise environments.
• Strong hands‑on expertise in Snowflake, including data modeling, SQL development, performance tuning, security, and workload optimization.
• Experience working with Couchbase or similar NoSQL/document databases in production environments.
• Experience designing and supporting MuleSoft integrations, APIs, and data transformation patterns using enterprise integration best practices.
• Hands‑on experience supporting data integration for Adobe Journey Optimizer, Adobe Experience Platform, or similar customer data and journey orchestration platforms.
• Strong understanding of data architecture, integration architecture, and distributed system design, including tradeoffs across batch, API, event‑driven, and near‑real‑time patterns.
• Experience creating scalable technical designs, solution patterns, and architecture documentation for enterprise data platforms and integrations.
• Strong proficiency in SQL and at least one modern programming or scripting language such as Python, Java, or JavaScript.
• Experience with REST APIs, event‑driven architectures, JSON payloads, and integration troubleshooting across distributed systems.
• Knowledge of data governance, data quality, observability, privacy, and secure handling of enterprise and customer data.
• Strong communication skills with the ability to work across technical and business teams and influence solution design.
• Experience with Adobe Experience Platform schemas, identity concepts, datasets, segmentation support, or event ingestion patterns.
• Experience with modern orchestration, DevOps, and automation practices including CI/CD pipelines, Git‑based workflows, infrastructure automation, and test automation.
• Familiarity with streaming or near‑real‑time architectures and related technologies.
• Experience supporting customer 360, CRM, loyalty, personalization, or digital engagement use cases.
• Knowledge of cloud‑native architecture patterns, reference architecture development, and enterprise data platform design.
• Experience contributing to architecture reviews, non‑functional requirement definition, and platform roadmaps.
• Relevant certifications in Snowflake, MuleSoft, Adobe Experience Platform, or cloud platforms are a plus.