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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 ...

Pantar Solutions, Inc.

Data Engineer

San Francisco, CA

$134K - $162K/yr

Data Engineer Candidate must be in SFO, CA Long term contract - JD Summary: 10+ years of experience ... Marketing data experince will be plus Ability to lead and work through cross-functional teams ...

OpenArt

Growth Data Engineer

San Francisco, CA · On-site

$300K - $350K/yr

Growth Data Engineer About OpenArt OpenArt is an AI Storytelling and Visual Creation Platform used ... Work across product, marketing, and data - highly cross-functional role. * Build from 0 → 1 - ...

Experian

$98K - $133K/yr

Help develop data engineering pipelines to transform and analyze marketing and customer data. * Analyze web and marketing performance data to create applicable insights on customer behavior, campaign ...

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 ...

Embedding VC

Growth Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Work across product, marketing, and data - highly cross-functional role. * Build from 0 → 1 - ... About the Role We're looking for a Growth Data Engineer to build and own OpenArt's marketing data ...

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 ...

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

$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 ...

Mod Op

Sr. Marketing Data & AI Engineer

Dallas, TX · On-site

$104K - $142K/yr

Mod Op's Marketing Data & AI Engineer is a specialized role at the intersection of marketing technology, customer data platforms, and applied AI. This individual brings strong marketing domain ...

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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 Jun 10, 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.

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.
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Marketing Data Engineer jobs near you
Data Engineer

Data Engineer

ACI Infotech

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Posted 6 days ago

Job description

Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and produce detailed data design documents, help translate business requirements to Technical requirements, be a SME for Azure Cloud and Databricks, bring Industry best practices to RT
Role: Data Engineer
Location: 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 (CDP) implementation project, responsible for product evaluations, POC's, configurations & implementation, on-going maintenance, evolution and leading the end-to-end execution of Marketing use cases/projects powered by CDP. This position will act as a single point of contact to field all the requirements coming from the Marketing business unit to architect and deliver analytical use cases to help answer business problems and enable Client Senior Leadership to make data-driven decisions as it relates to Digital Guest Experience & Marketing.
This role is a hands-on technical SME opportunity who will be designing software and services at scale and deliver creative, compelling solutions in the cloud that are cost-effective, reliable, and stable to build Business insight derivation applications on Marketing data sets.
Duties and Responsibilities: (Scope of the role, day-to-day activities, expected outcomes, highlights any complexities associated with the role)
• Help support evaluation of Customer Data Platforms (CDPs)
• Conduct Business Requirements workshops with Marketing Business teams and document them as User Stories in Azure DevOps backlogs
• Collaborate on standards and governance of Client's next-gen CDP platform to enable a federated contribution model across multiple delivery teams
• Use Test and Learn approach to assess the fitment of Microsoft Customer Insights platform for Client
• Hands-on coding/configuration in support of Customer Data Platform implementation for Client and its on-going maintenance and product evolution
• Integrate Customer Data Platform (CDP) with Enterprise Azure Cloud Data Lake using industry best practice
• Integrate CDP with Web and Mobile applications
• Custodian of Data Collection and ingestion into Customer Data Platform, standardization, unification and segmentation of customer profiles
• Lead Proof Of Concepts (POC) for Tealium, Blueshift, Bloomreach, Segment CDP products
• Ingest Google Analytics data into CDP
• Ingest MongoDB data into CDP
• Partner with Marketing business unit to help CDP power marketers create targeted personalized marketing campaigns
• Work with Marketing Product Owners and Stakeholders to gather data requirements and deliver data products in a collaborative and agile environment
• Engineer and performance tune ETL jobs to move data from a variety of source systems and file types to fit into dimensional data models
• Work with Offshore Azure Cloud developer for translating Business Requirements in to Technical specifications and develop the Azure Data Ingestion pipelines
Work Experience/ Education: (Required work experience and education / preferred experience and education that is beneficial to the role. Work experience can include management experience or any functional expertise where proficiency is necessary to be successful in the role)
Work Experience:
    • Minimum 4 years of experience working in IT department with Data & Analytics responsibilities
    • 2+ years of hands-on programming experience (SQL, Python, Scala, Java, etc.,)
    • Recent 2+ years of experience working as Sr. Data Engineer on Azure Cloud Platforms

Work Experience: (continued)
    • 1+ years of experience working on Data and Analytics projects in support of Marketing/Loyalty/Digital Customer Experience Use Cases
    • 2+ years of experience working with Google Analytics
    • 1+ years of experience working or at least exposure on any Customer Data Platform (e.g. Microsoft CI, Segment, Tealium, Treasure Data, Informatica, Exponea, SalesForce CDP, etc.,)
    • Experience working on Data & Analytics projects using Agile methodologies
    • Previous Retail, Convenience Store/Petroleum industry experience a plus
    • Previous experience working with Punchh Loyalty platform data is a huge plus

Education:
    • Masters or Bachelor's degree in Computer Science or Information technology with specialization in Data & Analytics, Data Science, Data Engineering or related fields.
    • Any one of the generic Cloud Platform certifications (AWS, Azure, GCP, etc.,)
    • Any one of the Data & Analytics certifications (Azure Fundamentals AZ-900, DP-200: Implementing an Azure Data Solution, DP-201: Designing an Azure Data Solution, DP-203: Data Engineering on Microsoft Azure, etc.,)

Technical Skills, tools:
  • Azure Cloud technologies:
    • Must Have: ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,

Azure DevOps:-Boards, Repos, Pipelines, Test Plans
  • Databases:
    • Must Have: SQL servers/SQL databases, MongoDB,
  • BI Platforms:
    • Must Have: Power BI, Power BI Premium,
  • Other MS tools:
    • Must Have: SSMS, SSIS, Visual Studio
  • Advanced Analytics/Data Scientists tools:
    • Must Have: Google Analytics, FireBase, RStudio Server, PyCharm
  • Programming Languages:
    • Must Have: SQL, JavaScript,
  • Agile tools:
    • Must Have: Azure DevOps,

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