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Martech Data Engineer Jobs in California (NOW HIRING)

Prodege LLC

Principal Data Engineer

El Segundo, CA · On-site

Mentor data engineers and raise the bar on technical quality, maintainability, and engineering discipline Must Have * 6+ years of hands-on experience in Data Engineering, ideally in AdTech, MarTech ...

Prodege LLC

Principal Data Engineer

El Segundo, CA · On-site +1

Mentor data engineers and raise the bar on technical quality, maintainability, and engineering discipline Must Have * 6+ years of hands-on experience in Data Engineering, ideally in AdTech, MarTech ...

NMK Global Inc.

MarTech Lead Engineer

San Francisco, CA · On-site

$120K - $159K/yr

Lead end‑to‑end MarTech engineering initiatives across orchestration, data processing, and activation pipelines. * Architect scalable, event‑driven systems that power real‑time marketing ...

Tatari

Senior Data Engineer

San Francisco, CA · Hybrid

$170K - $200K/yr

... MarTech Breakthrough Awards , as well as honors from Digiday (Best Connected TV Platform ... As a Senior Data Engineer in our Reporting and Measure pillar, you will design, build and own the ...

Tatari

Senior Data Engineer

Los Angeles, CA · Hybrid

$170K - $200K/yr

... MarTech Breakthrough Awards , as well as honors from Digiday (Best Connected TV Platform ... As a Senior Data Engineer in our Reporting and Measure pillar, you will design, build and own the ...

Tatari

Senior Data Engineer

Los Angeles, CA · On-site

$170K - $200K/yr

... MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform ... As a Senior Data Engineer in our Reporting and Measure pillar, you will design, build and own the ...

Tatari

Senior Data Engineer

San Francisco, CA · On-site

$170K - $200K/yr

... MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform ... As a Senior Data Engineer in our Reporting and Measure pillar, you will design, build and own the ...

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Martech Data Engineer information

How does a Martech Data Engineer typically collaborate with marketing and analytics teams to achieve business goals?

As a Martech Data Engineer, you will regularly partner with marketing and analytics teams to design, build, and maintain data pipelines that support campaign performance tracking and customer segmentation. You’ll work closely with marketers to understand their data needs and translate them into scalable technical solutions, often attending cross-functional meetings to plan new data integrations or troubleshoot issues. Collaboration also involves ensuring data quality, managing ETL processes, and enabling self-serve analytics by making data accessible and reliable for non-technical stakeholders. This close teamwork helps drive data-driven decision-making and ensures marketing strategies are effectively measured and optimized.

What is a Martech Data Engineer?

A Martech Data Engineer is a technology professional who specializes in building and maintaining the data infrastructure that supports marketing technology (Martech) platforms. They enable the collection, integration, and analysis of marketing data from multiple sources, ensuring data quality and accessibility for marketing teams. Their work helps organizations make data-driven marketing decisions, personalize customer experiences, and measure campaign effectiveness. Martech Data Engineers often collaborate with marketers, analysts, and other engineers to implement data pipelines and optimize marketing operations.

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

To thrive as a Martech Data Engineer, you need a solid background in data engineering, SQL, and marketing technology platforms, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or GCP), and certifications in marketing automation systems like Salesforce or Adobe Experience Cloud are highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help bridge the gap between marketing and technical teams. These skills enable the efficient integration, analysis, and utilization of marketing data, driving better decision-making and campaign performance.

What is the difference between Martech Data Engineer vs Data Analyst?

AspectMartech Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, marketing tech toolsData visualization, reporting, business insights
Employer & Industry UsageMarketing agencies, tech companies, e-commerceMarketing teams, business intelligence units
Common Search & Comparison IntentUnderstanding technical data roles in marketingAnalyzing marketing data for insights

The Martech Data Engineer focuses on building and maintaining data pipelines and infrastructure for marketing data, while the Data Analyst interprets data to generate insights and reports. Both roles are essential in marketing tech environments but serve different functions within data management and analysis.

What are popular job titles related to Martech Data Engineer jobs in California?

For Martech Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Martech Data Engineer jobs in California look for?

The top searched job categories for Martech Data Engineer jobs in California are:

What cities in California are hiring for Martech Data Engineer jobs?

Cities in California with the most Martech Data Engineer job openings:

Martech Data Engineer jobs near you
Infographic showing various Martech Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

MarTech Lead Engineer

NMK GLOBAL, INC

San Francisco, CA • On-site

Contractor

Re-posted 2 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.