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Data Marketing Jobs (NOW HIRING)

Gratiture Solutions

Be Seen First

Data Engineer

Boston, MA · On-site

$150K - $160K/yr

Position Summary We are seeking a Senior Data & Distribution Platform Engineer to support enterprise data, marketing, and distribution applications for a global asset-management organization. This ...

GoFundMe

Staff Data Scientist

San Francisco, CA · On-site

$179.50 - $269.50/hr

You will partner closely with leaders across Data, Marketing, Product, Growth, Finance, and Engineering to define technical strategy, build scalable measurement and modeling frameworks, accelerate ...

GoFundMe.com

Staff Data Scientist

San Francisco, CA · On-site

You will partner closely with leaders across Data, Marketing, Product, Growth, Finance, and Engineering to define technical strategy, build scalable measurement and modeling frameworks, accelerate ...

Sundae

Performance Marketing Manager

San Diego, CA · On-site

Sundae is changing that by combining technology, data, marketing, and operational expertise to connect motivated sellers with experienced local real estate entrepreneurs who can provide solutions ...

Gratiture Solutions

Be Seen First

Data Engineer

Boston, MA · On-site

$150K - $160K/yr

Position Summary We are seeking a Senior Data & Distribution Platform Engineer to support enterprise data, marketing, and distribution applications for a global asset-management organization. This ...

Sundae

Performance Marketing Manager

San Diego, CA · On-site

$110K - $125K/yr

Sundae is changing that by combining technology, data, marketing, and operational expertise to connect motivated sellers with experienced local real estate entrepreneurs who can provide solutions ...

Sundae

Performance Marketing Manager

San Diego, CA · Remote

Sundae is changing that by combining technology, data, marketing, and operational expertise to connect motivated sellers with experienced local real estate entrepreneurs who can provide solutions ...

Netflix

Manager, Data Engineering

Presenting compelling evidence - artwork, trailers, synopses, notifications, and marketing assets ... Our role in Data Engineering is to make this possible: to provide robust, scalable, and well ...

Netflix

Manager, Data Engineering

Los Angeles, CA · On-site

Presenting compelling evidence - artwork, trailers, synopses, notifications, and marketing assets ... Our role in Data Engineering is to make this possible: to provide robust, scalable, and well ...

Netflix

Manager, Data Engineering

Los Gatos, CA

Presenting compelling evidence - artwork, trailers, synopses, notifications, and marketing assets ... Our role in Data Engineering is to make this possible: to provide robust, scalable, and well ...

Netflix

Manager, Data Engineering

Los Angeles, CA

Presenting compelling evidence - artwork, trailers, synopses, notifications, and marketing assets ... Our role in Data Engineering is to make this possible: to provide robust, scalable, and well ...

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Data Marketing information

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$13

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$91

How much do data marketing jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data marketing in the United States is $38.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $45.91 per hour, depending on experience, location, and employer.

What is data marketing?

Data marketing is the use of data and analytics to inform and optimize marketing strategies, campaigns, and customer interactions. By collecting and analyzing data from various sources—such as social media, website analytics, and customer databases—marketers can better understand consumer behavior and preferences. This enables them to create more personalized content, target audiences more effectively, and measure the impact of their efforts. Data marketing helps companies make smarter decisions, improve return on investment (ROI), and stay competitive in a rapidly evolving digital landscape.

What are the key skills and qualifications needed to thrive as a data marketing specialist?

To thrive as a Data Marketing Specialist, you need a solid understanding of data analytics, digital marketing principles, and experience with data-driven campaign strategies, often supported by a degree in marketing, statistics, or a related field. Familiarity with tools such as Google Analytics, CRM systems, marketing automation platforms, and data visualization software is typically required. Strong communication, critical thinking, and project management skills help professionals interpret data and collaborate effectively across teams. These skills are important because they enable the creation of targeted, measurable campaigns that drive business growth and optimize marketing ROI.

How does a data marketing professional typically collaborate with cross-functional teams to achieve campaign goals?

Data Marketing professionals work closely with teams such as sales, creative, IT, and analytics to design, implement, and optimize marketing campaigns. They often translate complex data insights into actionable strategies for non-technical stakeholders, ensuring that messaging and targeting align with business objectives. Regular meetings and data-sharing sessions are common, fostering a collaborative environment where feedback is used to refine audience segmentation, content personalization, and campaign measurement. This cross-functional coordination is key to driving campaign effectiveness and achieving measurable results.

What is the difference between Data Marketing vs Data Analyst?

AspectData MarketingData Analyst
Primary FocusUsing data to develop marketing strategies and campaignsAnalyzing data to interpret trends and support decision-making
Skills & CertificationsMarketing analytics, data visualization, CRM tools, certifications like Google AnalyticsStatistical analysis, SQL, Excel, certifications like CAP or Microsoft Data Analyst
Work EnvironmentMarketing teams, digital agencies, advertising firmsBusiness intelligence teams, data departments, consulting firms
Industry UsageMarketing, advertising, e-commerceFinance, healthcare, retail, consulting

While both roles involve working with data, Data Marketing focuses on leveraging data to craft marketing strategies and campaigns, whereas Data Analysts interpret data to inform broader business decisions. Understanding these differences helps professionals choose the right career path or job focus.

What are data marketing jobs?

Data marketing jobs involve analyzing and using data to develop marketing strategies, improve customer targeting, and measure campaign effectiveness. Roles often require skills in data analysis, marketing tools, and understanding consumer behavior, with common positions including data analysts, marketing analysts, and digital marketing specialists.
More about Data Marketing jobs

What cities are hiring for Data Marketing jobs?

Cities with the most Data Marketing job openings:

What states have the most Data Marketing jobs?

States with the most job openings for Data Marketing jobs include:

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

The top searched job categories for Data Marketing jobs are:

Data Marketing jobs near you
Infographic showing various Data Marketing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,479 per year, or $38.7 per hour.

Data Engineer

Gratiture Solutions

Boston, MA • On-site

$150K - $160K/yr

Contractor

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

Job description

About the role: 

Position Summary

We are seeking a Senior Data & Distribution Platform Engineer to support enterprise data, marketing, and distribution applications for a global asset-management organization. This player-coach role combines hands-on production support with technical guidance, team coordination, and stakeholder communication.

Our ambition is to build an AI-native support model that combines engineering expertise, operational context, proactive monitoring, and automation to detect issues earlier, accelerate diagnosis, prevent recurrence, and continuously improve service reliability.

The ideal candidate brings strong data-platform experience, sound operational judgment, and a collaborative approach to solving production issues and improving how applications are supported.

Key Responsibilities

Provide technical guidance and coordinate priorities across the Data and Distribution domain.

Support incident investigation, service requests, problem management, operational changes, and release readiness.

Lead complex troubleshooting and root-cause analysis within the agreed support boundary.

Operate, monitor, and support Snowflake, dbt Cloud, Fivetran, Collibra, and associated data workflows.

Support AEM, Adobe Campaign, Salesforce C360, Workfront, and related distribution applications.

Diagnose application, API, data-movement, and integration dependencies and coordinate with the appropriate resolver groups.

Perform agreed operational remediation and preventive improvements within the Level 2 support boundary.

Contribute to approved monitoring, diagnostics, runbook, and support-automation initiatives.

Improve documentation, knowledge sharing, escalation quality, and recurring-incident prevention.

Guide engineers through complex investigations and coordinate with technical, product, business, and vendor stakeholders.

Required Qualifications

7+ years supporting enterprise data platforms, SaaS applications, or production environments.

Strong experience with Snowflake, advanced SQL, and Python.

Experience with dbt Cloud, Fivetran, or comparable data-pipeline technologies.

Experience monitoring and troubleshooting production data workflows.

Experience guiding technical work, coordinating delivery, or mentoring engineers.

Strong troubleshooting, root-cause analysis, and stakeholder communication skills.

Understanding of APIs, data movement, integrations, and production-support practices.

Familiarity with ITIL incident, problem, and change management.

Nice to Have

Client-facing, consulting, or managed-services experience.

Experience with Collibra or another data-governance platform.

Experience with AEM, Adobe Campaign, Salesforce C360, or Workfront.

Experience diagnosing Azure APIM or other enterprise integration dependencies.

Experience with enterprise observability and service-management tools.

Experience developing operational monitoring, diagnostic tools, or support automation.

Company Description

We strive to provide the highest quality recruitment, screening, and customer service to help grow exceptional teams as well as assist professionals advance in their desired careers. Integration is at the heart of digital transformation, and Our initiatives are designed to help customers across industries accelerate time to market with our agile workforce. Our Core team includes domain experts from multiple industries with thorough knowledge and understanding of the essential aspects of any IT demand.