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#214479

Senior MarTech Engineer

Orlando, FL, Glendale, CA, Anaheim, CA, or Seattle, WA
Date:

Overview

Placement Type:

Temporary

Salary:

$78-90.04 Hourly

up to $90.04/hr

Start Date:

Nov 14, 2026

Partnering with Aquent opens the door to impactful opportunities with some of the world’s most innovative and recognizable brands. We are seeking a talented Senior Engineer to drive the evolution of a Tier 1 communications platform, directly shaping how millions of global consumers engage with world-class digital experiences. In this role, you will bridge the gap between maintaining robust legacy systems and pioneering next-generation marketing technologies, ensuring seamless, personalized, and high-impact connections with audiences worldwide.

The Opportunity

As a key technical leader, you will play a pivotal role in shaping the future of our client’s marketing technology ecosystem. You will take hands-on ownership of a critical, high-volume communications platform while actively designing and building next-generation capabilities. This is a unique opportunity to lead migration and modernization efforts, utilizing cutting-edge tools to elevate how data-driven campaigns are designed, executed, and optimized.

Working in a collaborative, agile environment, you will partner with cross-functional engineering, product, and campaign teams to build reusable backend services, design robust APIs, and establish seamless data pipelines. Your work will directly influence the scalability, reliability, and sophistication of global consumer engagement strategies.

What You’ll Do

  • Sustain, optimize, and manage Adobe Campaign Classic (ACC) configurations, including data schemas, workflows, forms, web applications, external accounts, and integrations.
  • Support complex multi-wave and multi-channel marketing campaigns, including triggered communications, dynamic personalization, and email deployment.
  • Design and build next-generation marketing capabilities using advanced tools like Salesforce Marketing Cloud (SFMC), Salesforce Data 360, Adobe Journey Optimizer (AJO), and Adobe Experience Platform (AEP).
  • Develop reusable backend services, APIs, data pipelines, and automated integrations connecting upstream and downstream systems.
  • Contribute to platform coexistence and migration planning, including data mapping, functional parity, testing, and release sequencing.
  • Collaborate across engineering, product, and architecture teams to apply high standards for code review, CI/CD, testing, and observability.
  • Provide Tier 1 incident response, root-cause analysis, and continuous reliability improvements for production applications.

What You’ll Bring

  • 5+ years of software or data engineering experience spanning technical design, implementation, end-to-end testing, and deployment.
  • Deep, hands-on experience with Adobe Campaign Classic (ACC), including its data model, schemas, workflows, and campaign execution.
  • Strong backend development skills in Python, Java, or a comparable language, alongside working knowledge of JavaScript and XML.
  • Proficiency with REST and SOAP APIs, SQL, relational databases (such as Microsoft SQL Server or Snowflake), and ETL/ELT pipelines.
  • Proven track record of supporting production applications, troubleshooting, and performing root-cause analysis.
  • Excellent problem-solving, communication, and collaboration skills in agile, cross-functional team environments.
  • Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

  • Experience implementing or integrating Salesforce Marketing Cloud (SFMC), Salesforce Data 360, Adobe Journey Optimizer (AJO), or Adobe Experience Platform (AEP).
  • Experience migrating enterprise campaign platforms or integrating Adobe Analytics, Adobe Target, or other Adobe Experience Cloud products.
  • Familiarity with Windows Server cloud-hosted environments.
  • Adobe Campaign Classic certification (e.g., Adobe Campaign Classic Developer Expert).
  • Experience with AWS services (EC2, RDS, ELB), Docker, CI/CD automation, and monitoring tools like Datadog.
  • Familiarity with AI tools and their application across the software development lifecycle.