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Martech Data Engineer Jobs in California (NOW HIRING)

Jobtailor

Principal Data Engineer

Sunnyvale, CA · On-site

$200 - $250/hr

... data engineering, database engineering, business intelligence, or business analytics * Deep ... Strong AdTech/MarTech expertise across retail media, bidding, targeting, identity, attribution ...

New

Windfall Data, Inc.

Solutions Engineer

San Francisco, CA · On-site

$150 - $200/hr

Prior experience in Solution(s) Role or AdTech/MarTech/Data industry * Scrappiness. We don't have ... Technology, Engineering, Math) or another quantitative field * Ability to work in ambiguous ...

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 · 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 · 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

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 ...

Walmart

(USA) Principal, Data Engineer

Mountain View, CA · On-site

$143K - $286K/yr

Global AdTech and MarTech builds the data and decisioning platforms powering advertising across ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Principal, Data Engineer

San Jose, CA · On-site

$143K - $286K/yr

Global AdTech and MarTech builds the data and decisioning platforms powering advertising across ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

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Martech Data Engineer information

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.

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 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, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Principal Data Engineer

Jobtailor

Sunnyvale, CA • On-site

$200 - $250/hr

Other

Posted yesterday

New

Job description


  • Architect scalable data systems processing billions of advertising and customer signals across real-time, near-real-time, micro-batch, and batch workloads

  • Ensure low latency, high throughput, resilience, replayability, idempotency, and cost-efficient scaling

  • Unify advertising data across campaigns, identity, audiences, measurement, optimization, CRM, and advertiser lifecycle

  • Build reusable, configuration-driven, multi-tenant platforms with standardized schemas, contracts, governance, observability, privacy, and deployment patterns

  • Modernize legacy pipelines for real-time optimization, reporting, activation, and machine learning

  • Lead agentic data enablement for discovery, pipeline automation, monitoring, diagnostics, cost optimization, onboarding, recommendations, and secure, explainable production guardrails

  • Define workload patterns across streaming, near-real-time, micro-batch, and batch architectures

  • Provide technical leadership across the full advertising lifecycle

  • Establish governed agentic data capabilities and AI-ready products with security, reliability, explainability, safety, and measurable outcomes

  • Collaborate across Walmart U.S., Sam’s Club, and international advertising businesses


Requirements

  • Bachelor’s degree in Computer Science and 5 years' experience in software engineering or related field; or 7 years’ experience in software engineering or related field; or Master's degree in Computer Science and 3 years' experience in software engineering or related field

  • 4 years' experience in data engineering, database engineering, business intelligence, or business analytics

  • Deep expertise designing billion-scale, real-time and near-real-time distributed data systems

  • Experience with Spark, Flink, Kafka, streaming, orchestration, and compute/storage optimization

  • Strong experience with GCP or equivalent cloud platforms

  • Experience with BigQuery, Dataproc, Dataflow, Pub-Sub, Airflow, and modern data infrastructure

  • Deep understanding of low-latency architectures, partitioning, backpressure, replay, consistency, fault tolerance, resilience, recovery, and cost efficiency

  • Proven Principal-level leadership shaping architecture, standards, strategic trade-offs, design reviews, and senior technical talent

  • Strong AdTech/MarTech expertise across retail media, bidding, targeting, identity, attribution, measurement, reporting, CTV, and privacy-safe collaboration is desirable

  • Preferred experience with ETL tools and large data sets in the cloud

  • Preferred Master's degree in Computer Science or related field and 5 years' experience in software engineering or related field

  • Preferred knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices


Demonstrates expertise in architecting scalable data systems for real-time and batch processing, with a focus on low-latency, high throughput, and resilience. Proven ability to lead technical initiatives across advertising data lifecycle while ensuring security, explainability, and cost efficiency.


Highest-signal resume keywords

  • Data Engineering

  • Real-Time Distributed Data Systems

  • GCP Cloud Platforms

  • Spark and Kafka

  • AdTech/MarTech Expertise


Hard Skills

  • Data Engineering

  • Database Engineering

  • Business Intelligence

  • Real-Time Processing

  • Distributed Systems Design

  • ETL Tools

  • BigQuery

  • Dataflow

  • Streaming Architectures

  • Compute/Storage Optimization


Soft Skills

  • Technical Leadership

  • Collaboration

  • Strategic Trade-Offs

  • Design Reviews


Certifications & Qualifications

  • Bachelor’s Degree in Computer Science

  • Master's Degree in Computer Science


Industry Keywords

  • Advertising Data

  • Retail Media

  • Bidding

  • Targeting

  • Attribution

  • Measurement

  • Privacy-Safe Collaboration

  • WCAG 2.2 AA Standards


Tools & Technologies

  • Spark

  • Flink

  • Kafka

  • GCP

  • Dataproc

  • Pub-Sub

  • Airflow

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