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Marketing Data Engineer Jobs in California (NOW HIRING)

Fabletics

Sr. Data Engineer

El Segundo, CA · On-site

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and ... Working closely with teams across Product, Marketing, Finance, and Data Science, you'll translate ...

JF Retail Services

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and ... Working closely with teams across Product, Marketing, Finance, and Data Science, you'll translate ...

Asana

Staff Data Scientist, Marketing

San Francisco, CA · On-site +1

$202K - $282K/yr

In your role on the Marketing Data Science team, you will be the deepest technical expert ... About you: * Bachelor Degree in Math, Statistics, Computer Science, Engineering a related ...

The Walt Disney Company

Data Engineer I

Santa Monica, CA · On-site

$128K - $154K/yr

About the Team The Acquisition Marketing Engineering team owns the ingestion, modeling, and activation of acquisition and lifecycle marketing data across multiple platforms. We build and maintain ...

Cisco

Digital Marketing Manager

San Jose, CA · On-site

Who We Are As a core contributor to the Digital Marketing MOPs team, your work will directly ... Engineer and optimize scalable data pipelines using Snowflake, Fivetran, dbt, and related ...

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All JobsMarketing Data Engineer JobsMarketing Data Engineer Jobs in California

Marketing Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do marketing data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for marketing data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

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

AspectMarketing Data EngineerData Analyst
Primary FocusBuilding and maintaining data pipelines for marketing dataAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL, data warehousing, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams within marketing or analytics departmentsBusiness units, marketing teams, or analytics departments
Tools UsedApache Spark, Hadoop, cloud data servicesTableau, Power BI, Excel

The main difference is that Marketing Data Engineers focus on creating and managing the infrastructure for marketing data, while Data Analysts interpret that data to provide actionable insights. Both roles often collaborate but serve distinct functions within data-driven marketing strategies.

What is a marketing data engineer?

Marketing Data Engineers are professionals who design, build, and manage data systems that enable marketing teams to collect, process, and analyze large volumes of marketing data. They work at the intersection of data engineering and marketing analytics, ensuring that data pipelines are robust, scalable, and optimized for marketing use cases. Their work helps organizations make informed marketing decisions by providing reliable and accessible data from multiple sources, such as web analytics, CRM systems, and advertising platforms. Marketing Data Engineers often collaborate closely with data analysts, data scientists, and marketers to create solutions that drive business growth.

How do marketing data engineers typically collaborate with marketing teams to drive data-driven campaigns?

Marketing Data Engineers work closely with marketing teams by designing data pipelines that collect and process campaign performance data, ensuring marketers have timely and accurate insights. They often participate in cross-functional meetings to understand campaign goals and translate them into data requirements, dashboards, or reports. This collaboration enables marketers to make informed decisions, optimize strategies, and measure ROI effectively. Regular communication and a clear understanding of marketing objectives are key to ensuring the technical solutions provided align with business needs.

What are the key skills and qualifications needed to thrive as a marketing data engineer, and why are they important?

To thrive as a Marketing Data Engineer, you need strong skills in data modeling, SQL, and data pipeline development, often supported by a degree in computer science, engineering, or a related field. Experience with ETL tools, cloud data platforms (like AWS or GCP), and marketing analytics systems such as Google Analytics is typically required. Excellent problem-solving, communication, and collaboration skills help you translate business requirements into technical solutions and work effectively with marketing teams. These abilities ensure accurate, actionable insights that drive data-driven marketing strategies and business growth.

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

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

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

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

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

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

Marketing Data Engineer jobs near you
Infographic showing various Marketing 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, with an average salary of $128,018 per year, or $61.5 per hour.

Data Engineer/ Marketing Platforms Data Specialist

Programmers.io

Sunnyvale, CA • On-site

Full-time

Re-posted 27 days ago

Job description

Job Description:

As a Marketing Platforms Data Specialist, you will play a central role in enabling marketing teams to effectively use data for campaign execution, platform integrations, and decision-making. You will partner closely with Marketing Operations, Data Engineering teams to ensure data accuracy, project visibility, and operational excellence across initiatives. This role combines strong data capabilities (SQL, validation, aggregation) with project coordination and marketing platform understanding. You will bridge teams and workflows, drive seamless project execution while ensure data integrity and scalable, compliant systems.

Data & Audience Operations
Build and maintain aggregated datasets for marketing use cases.
Write SQL queries to extract, validate, and segment audiences for campaigns.
Perform data validation and ensure accuracy across systems and stakeholders.
Support data monitoring processes to proactively identify issues.
Project Tracking & Execution Support
Track day-to-day progress of marketing automation and data integration projects.
Coordinate testing, validation cycles, and stakeholder updates.
Maintain clear documentation, timelines, and status reporting across initiatives.
Marketing Platforms & Integrations
Support execution of marketing platform projects (automation, communications, integrations).
Work with cross-functional teams (Marketing, Engineering, Product) to ensure data flows correctly across systems.
Assist in improving operational workflows and reducing manual effort.
Demand Generation Support
Partner with Growth team to enable data-driven campaign execution for prospective customers.
Translate campaign requirements into data logic and audience definitions.
Privacy & Compliance
Ensure data handling aligns with GDPR and data retention policies.
Support validation and documentation required for Privacy reviews.

Minimum Qualifications

5+ years in marketing operations, data operations, or similar roles.
Strong experience with Snowflake data platform, including complex SQL query writing, ETL/ELT pipeline development, and data modeling (table creation, optimization, and maintenance).
Strong SQL skills (audience creation, validation, data extraction).
Solid understanding of data structures and data quality processes.
Experience tracking projects and coordinating across multiple stakeholders.
High attention to detail, especially with data accuracy and validation.
Basic understanding of marketing automation platforms and workflows.

Preferred Qualifications

Familiarity with marketing data ecosystems.
Knowledge of data monitoring or QA frameworks.
Basic HTML, CSS, and JavaScript skills (email or web support).
Exposure to privacy/compliance processes in marketing environments.
Basic understanding of AI/ML concepts and their application in data workflows.

Education

Bachelor’s degree in computer science/IT, Marketing, Business Administration, Analytics or a related field, or equivalent practical experience.

                                                                                                                                   

We are specifically looking for profiles with experience in:
- Snowflake & advanced SQL
- Marketing/Data Operations
- ETL/ELT pipelines and data validation
- Marketing platform integrations & campaign audience support
- Cross-functional project coordination