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Martech Developer Jobs in California (NOW HIRING)

MarTech Lead Engineer

San Francisco, CA · On-site

$120.80K - $159.10K/yr

Lead Engineer - Future of Email POD (MarTech Engineering & Orchestration) Role Overview The Lead ... Familiarity with DevOps practices including CI/CD, observability, and automated testing. Exposure ...

Staff Software Engineer, MarTech Agent Pod - JLLWhat this job involves: As a Staff Software Engineer on the MarTech Engineering Team, you'll serve as a forward-deployed engineer embedded within JLL ...

Senior AI Engineer, MarTech

San Jose, CA · On-site +1

$143.60K - $189.30K/yr

Senior AI Engineer, MarTech Role Overview: We are looking for a Senior AI Engineer to lead the transformation of our marketing ecosystem. You won't just be maintaining tools; you will be architecting ...

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Martech Developer information

See California salary details

$16

$52

$80

How much do martech developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for martech developer in California is $52.15, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $63.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Martech Developer, and why are they important?

To thrive as a Martech Developer, you need strong proficiency in web development (HTML, CSS, JavaScript), APIs, and data integration, often supported by a degree in computer science or a related field. Familiarity with marketing automation platforms (like Salesforce Marketing Cloud, HubSpot, or Adobe Experience Cloud), tag management systems, and certifications in relevant technologies are highly valuable. Strong problem-solving skills, communication, and the ability to collaborate with both marketing and IT teams help you excel in this role. These skills ensure seamless implementation of marketing technologies, enabling organizations to optimize campaigns and achieve business goals efficiently.

How do Martech Developers typically collaborate with marketing teams to implement and optimize campaigns?

Martech Developers work closely with marketing teams to translate campaign goals into technical solutions, such as setting up tracking pixels, integrating analytics platforms, or customizing marketing automation tools. This collaboration often involves regular meetings to review campaign requirements, troubleshoot technical issues, and iterate on solutions based on performance data. Effective communication and a strong understanding of both marketing objectives and technical constraints are key to ensuring successful campaign execution and optimization.

What is a Martech Developer?

A Martech Developer is a technology professional who specializes in building, integrating, and maintaining marketing technology (Martech) solutions. They work with tools and platforms such as customer relationship management (CRM) systems, email marketing software, analytics platforms, and automation tools to help organizations optimize their marketing strategies. Martech Developers bridge the gap between marketing and IT by ensuring that marketing campaigns are both technically sound and data-driven. Their responsibilities may include customizing platforms, managing APIs, implementing tracking solutions, and ensuring seamless data flow between systems.
What are popular job titles related to Martech Developer jobs in California? For Martech Developer jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Martech Developer jobs? Cities in California with the most Martech Developer job openings:
MarTech Lead Engineer

MarTech Lead Engineer

NMK GLOBAL, INC

San Francisco, CA • On-site

$120.80K - $159.10K/yr

Contractor

Posted 14 days ago


Job description


Position : Lead Engineer – Future of Email POD (MarTech Engineering & Orchestration)

Role Overview
The Lead Engineer in the FOE POD is a senior technical leader responsible for architecting, building, and scaling next‑generation marketing technology solutions. This role blends deep MarTech orchestration expertise with modern big‑data engineering, cloud-native design, and emerging AI‑driven development patterns. The ideal candidate is a hands-on technologist who can design resilient systems, guide engineering teams, and partner with cross-functional stakeholders to deliver high‑impact customer engagement capabilities.
Key Responsibilities
Lead end‑to‑end MarTech engineering initiatives across orchestration, data processing, and activation pipelines.
Architect scalable, event‑driven systems that power real‑time marketing experiences and automated customer journeys.
Design and implement orchestration workflows using Adobe Campaign or equivalent enterprise‑grade tools.
Develop high‑performance big‑data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python.
Build and optimize cloud‑native data pipelines on Azure, including ADF‑based ingestion, transformation, and orchestration.
Apply modern design patterns to ensure reliability, maintainability, and scalability across distributed systems.
Drive AI‑assisted engineering practices including Vibe Coding and other generative‑AI development accelerators.
Collaborate with product, marketing, and data teams to translate business needs into robust technical solutions.
Mentor engineers and elevate engineering standards, code quality, and operational excellence within the POD.
Required Skills & Experience
Deep expertise in MarTech platforms with hands‑on experience in Adobe Campaign or similar orchestration tools.
Strong proficiency in big‑data technologies: Scala, Databricks, Spark SQL, Spark Streaming, Python.
Cloud engineering experience with Azure services, including Azure Data Factory.
Advanced system design capabilities including event‑driven architectures and distributed design patterns.
Experience with AI‑augmented development such as Vibe Coding or comparable frameworks.
Proven ability to lead engineering teams in a fast‑paced, cross‑functional environment.
Strong communication and stakeholder alignment skills with the ability to translate technical concepts into business impact.
Preferred Qualifications
Experience in large‑scale marketing ecosystems (ESP, CDP, personalization engines, real‑time decisioning).
Background in high‑volume data processing supporting customer engagement or growth marketing.
Familiarity with DevOps practices including CI/CD, observability, and automated testing.
Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation.