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Marketing Data Engineer Jobs in California (NOW HIRING)

Zoomcar

Data Engineer, Growth

San Francisco, CA · On-site

$190 - $240/hr

The Opportunity As a Data Engineer on the RTM Growth team, you'll own the pipelines, models, and ... You'll partner closely with Growth, Performance Marketing, and Data Science to turn raw acquisition ...

New

1 point system

Data Engineer

Los Angeles, CA · On-site

$60/hr

Job Title Data Engineer Client Confidential Location Los Angeles, CA (5 days - Onsite) Type of Hire ... Work closely with product, marketing, and platform teams to identify opportunities for advanced ...

SoFi

Staff Marketing Data Scientist

San Francisco, CA · On-site

Bachelor's degree in Computer Science, Math, Physics, Engineering, or a quantitative field required; Master's degree preferred. * 8+ years of relevant marketing experience in the financial services ...

Punch Agency

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... data engineer to design & implement highly reliable & scalable Audience Management Big Data ... on digital marketing Industry) - Experience working with AWS (S3, EMR, EC2, RDS) Job Type ...

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Showing results 21-40

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.

Software Engineer, Data Infrastructure

Cacheflow

Mountain View, CA • On-site

$185 - $230/hr

Other

Posted 17 days ago

Job description

The Opportunity

We are looking for a Senior Data Engineer to join our Data Platform team and build the core data foundations that power analytics, experimentation, and decision‑making across the company. In this role, you will design and own foundational data models, pipelines, and platforms that enable self‑serve analytics and trustworthy insights at scale.

You will partner closely with Growth, Product, Sales, Marketing, Data Insights, and Engineering teams as a technical thought leader who helps teams extract meaningful value from data. This is a high‑ownership role in a growing company, and you will have a direct impact on how data is collected, modeled, and used to drive the business forward.

Your Impact
  • Build and own foundational data models that enable self‑serve analytics and key business metrics
  • Design, operate, and scale reliable data pipelines and platforms
  • Partner with stakeholders to translate business needs into trusted data products
  • Influence data collection and logging standards across production systems
  • Establish best practices for data modeling, quality, and governance
  • Implement data quality checks, statistical validation, and anomaly detection
  • Provide technical leadership that improves data reliability and data literacy
We’re Looking for Someone Who
  • Has 5+ years of experience in data engineering
  • Has a Bachelor’s degree in Computer Science or equivalent experience
  • Has strong programming skills in Python and SQL
  • Has expertise with cloud data warehouses such as Snowflake, BigQuery, or Databricks
  • Has experience building and maintaining ETL/ELT pipelines
  • Is experienced with workflow orchestration (e.g., Airflow, dbt)
  • Has strong data modeling skills and understands how to design for analytical workloads
  • Has experience with cloud platforms (preferably AWS)
  • Has worked in fast‑paced tech, AI or SaaS environments
Nice to Haves
  • Experience with data governance, data catalogs, and data quality frameworks
  • Familiarity with BI or data visualization tools
  • Experience with experimentation or A/B testing frameworks
  • Exposure to ML pipelines, feature engineering, or applied data science
  • Experience with streaming or near‑real‑time data systems
Salary Range

Salary Range: $185,000 to $230,000 USD per year.

This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.

Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process.

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