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Marketing Data Engineer Jobs (NOW HIRING)

ACI Infotech

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Atlanta, GA - On-Site ( Hybrid) Position Description (General role information, job purpose, main objectives of the role) Marketing Data Engineer will be primarily working on Customer Data Platform ...

Prophecy Technologies

Lead Data Engineer

San Jose, CA · On-site

Lead Data Engineer / Architect - AI & Marketing Data Modernization Key Responsibilities: * Modernizing legacy systems and scaling data platforms * Working in marketing, advertising, or growth ...

ID.me

Marketing Data & Analytics Leader

Mountain View, CA

$101K - $125K/yr

This role requires significant expertise in marketing analytics, data engineering, and multi-touch attribution, with responsibilities spanning data infrastructure, performance measurement, and cross ...

Adecco

Marketing Data Analyst

Spring, TX

$28.53/hr

... engineering concepts. · Strong Excel and financial modeling skills. What's in this Marketing Data ... Analyst position for you? • Pay: $28.53 /Hour • Shift: Monday - Friday; 8:00 AM - 5:00 PM • ...

Foxit

Data Engineer-Marketing Technology

Alpharetta, GA

$111K - $134K/yr

Data Engineer, Marketing Technology About Us: Foxit is remaking the way the world interacts with documents through advanced PDF technology and tools. We are a leading global software provider of fast ...

Axos Bank

AVP, Marketing Data Engineering

San Diego, CA · On-site

$115K - $150K/yr

About This Job The AVP, Marketing Data Engineering leads the design and operation of scalable, reliable data pipelines that power marketing activation and measurement. This role owns how marketing ...

Foxit

Data Engineer-Marketing Technology

Alpharetta, GA

$111K - $134K/yr

Data Engineer, Marketing Technology About Us: Foxit is remaking the way the world interacts with documents through advanced PDF technology and tools. We are a leading global software provider of fast ...

Foxit

Data Engineer-Marketing Technology

Alpharetta, GA · On-site

$111K - $134K/yr

Data Engineer, Marketing Technology About Us: Foxit is remaking the way the world interacts with documents through advanced PDF technology and tools. We are a leading global software provider of fast ...

Axos Bank

AVP, Marketing Data Engineering

San Diego, CA

$115K - $150K/yr

About This Job The AVP, Marketing Data Engineering leads the design and operation of scalable, reliable data pipelines that power marketing activation and measurement. This role owns how marketing ...

ACI Infotech

Lead Data Engineer

Atlanta, GA · On-site

$98K - $129K/yr

... for Marketing Data Engineering, embracing cutting-edge platforms and tools. - Lead and inspire a technical team, nurturing individual growth and fostering a collaborative culture. - Cultivate a ...

Mondo

Marketing Data Enablement Manager

Charlotte, NC · On-site

$155K - $160K/yr

Minimum Requirements: • 5 years of experience managing a data engineering or data analytics team within a marketing or production environment, with direct reports numbering 5 or more. • 2 years ...

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All JobsMarketing Data Engineer Jobs

Marketing Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do marketing data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for marketing data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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 are Marketing Data Engineers?

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.

What engineers make $300,000 a year?

Senior engineering roles such as Software Engineers, Data Engineers, and Cloud Engineers can earn $300,000 or more annually, especially with extensive experience, specialized skills, and working in high-demand industries or companies. These roles often require advanced technical expertise, certifications, and sometimes leadership responsibilities.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in SQL, Python, cloud platforms, and big data tools. Salaries vary by industry, location, and company size, with senior roles and specialized expertise commanding higher pay.

What does a marketing data engineer do?

A marketing data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze marketing data. They work with tools like SQL, Python, and cloud platforms to ensure accurate data flow for marketing insights and decision-making.

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 engineers make 500,000?

Senior engineering roles such as software engineers, data engineers, and systems engineers with extensive experience, specialized skills, and leadership responsibilities can earn $500,000 or more annually. These high salaries often involve working in high-demand industries, managing large-scale projects, or holding executive-level positions, sometimes supplemented by bonuses and stock options.
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Marketing Data Engineer jobs near you
Data Engineer (Backend Data, Marketing & AI)

Data Engineer (Backend Data, Marketing & AI)

I.T. Solutions, Inc.

Alameda, CA • On-site

$131K - $157K/yr

Other

Posted 3 days ago

Job description

Data Engineer for Backend Data & AI (Digital & Marketing IT) Location: Alameda, CA Onsite / Hybrid Long-Term Rolling Contract Role Summary We are seeking a hungry to learn and grow Data Engineer for Backend Data & AI with 5+ years of hands-on data engineering experience and a proven ability to lead architecture, execution, and technical direction for enterprise-scale marketing and customer data platforms. This role will act as a technical authority and thought leader, guiding backend data and AI solutions that power customer engagement, marketing activation, analytics, and AI-driven insights. The ideal candidate combines strong technical expertise in AWS, DBT, Python, and modern data architectures with good leadership, communication, and decision-making skills . You will partner closely with product owners, marketing stakeholders, technical leads, architects, and offshore delivery teams to deliver scalable, business-ready data solutions. Required Qualifications 5 + years of experience in data engineering, with at least 2–3 years in a technical leadership or lead engineer role. Deep expertise in AWS data services (Glue, S3, Redshift, DynamoDB, Airflow). Advanced proficiency in SQL, DBT, and Python. Strong experience designing and operating cloud-native data platforms at scale. Proven ability to communicate complex technical concepts to both technical and non-technical stakeholders. Nice to Have Experience in the Life Sciences or Healthcare domain. Strong familiarity with marketing data ecosystems (email, media, social, web) and key Marketing KPIs. Data flows that support campaign targeting, segmentation, and personalization across email, paid media, and social channels. Marketing-specific data enrichment and validation logic (e.g., opt-in status, best email logic, engagement scoring). Data engineering supporting analytics and dashboards for campaign performance, attribution, and customer journey insights. Experience with Fivetran or similar managed ingestion tools. Knowledge of marketing compliance and privacy regulations (GDPR, HIPAA for HCP data, CAN-SPAM). Experience with CRM platforms such as Salesforce or Veeva. Exposure to GenAI, LLMs, and AI-driven personalization frameworks.

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