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Marketing Data Engineer Jobs in California (NOW HIRING)

1872 Consulting

Data Engineer

Gardena, CA · On-site

$116K - $140K/yr

Develop, integrate, and maintain APIs for our marketing data warehouse * Develop and maintain ... as a developer * Experience in 1+ data warehouse / ETL-type projects * Follows best practices ...

1872 Consulting

Data Engineer

Gardena, CA · On-site

$116K - $140K/yr

Develop, integrate, and maintain APIs for our marketing data warehouse * Develop and maintain ... as a developer * Experience in 1+ data warehouse / ETL-type projects * Follows best practices ...

OpenArt

Marketing Data Scientist

San Carlos, CA · On-site

$150K - $180K/yr

Work across marketing, growth, product, data engineering, and finance - one of the most cross-functional roles in the company. * Build from 0 → 1. The attribution model, channel taxonomy, and ...

OpenArt AI

Marketing Data Scientist

San Carlos, CA · On-site

$140 - $210/hr

Work across marketing, growth, product, data engineering, and finance -- one of the most cross-functional roles in the company. * Build from 0 → 1. The attribution model, channel taxonomy, and ...

The Walt Disney Company

Sr Data Engineer

Santa Monica, CA · On-site

$119K - $161K/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 ...

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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 Sep 5, 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 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 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 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 7% Internship, 75% Full Time, and 18% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Data Engineer

1872 Consulting

Gardena, CA • On-site

$116K - $140K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer

Near Los Angeles, CA Full Time

What You Should Expect

  • Develop, integrate, and maintain APIs for our marketing data warehouse
  • Develop and maintain reporting views in a common repository with automation to load into RedShift
  • Creating a simple web UI for internal users to generate common data exports
  • Assist in diagnosing and improving slow queries
  • Work with the Data Insights Manager to architect and design our e-commerce analytics pipeline
  • Contribute to marketing data insights strategy and development
  • Help extend our operations software to include inventory management, barcoding, additional warehouse telemetry and automation
  • Develop real time data visualizations to help stakeholders make better strategic decisions
  • Help support our Shopify/Ecommerce portal with troubleshooting

Qualifications and Skills

Experience and Skills:

  • 2+ years as a developer
  • Experience in 1+ data warehouse / ETL-type projects
  • Follows best practices around APIs and data processing pipelines
  • Can maintain well-documented code and communicate effectively with non-technical stakeholders
  • Experience with the following tools is highly preferred:
    • Scripting / development: Python or Node.js
    • Database: SQL + AWS Redshift
1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

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