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Martech Data Engineer Jobs (NOW HIRING)

7-ELEVEN

Data Engineer - MarTech

Dallas, TX · On-site

$113K - $136K/yr

The Data Engineer - Marketing Technologies builds and maintains the data pipelines, models, and real-time streams that serve as the foundation for 7-Eleven's Marketing Technology (MarTech ...

7-ELEVEN

Data Engineer - MarTech

Irving, TX · On-site

$109K - $132K/yr

The Data Engineer - Marketing Technologies builds and maintains the data pipelines, models, and real-time streams that serve as the foundation for 7-Eleven's Marketing Technology (MarTech ...

7-Eleven

Data Engineer - MarTech

Irving, TX · On-site

$109K - $132K/yr

The Data Engineer - Marketing Technologies builds and maintains the data pipelines, models, and real-time streams that serve as the foundation for 7-Eleven's Marketing Technology (MarTech ...

Accenture

MarTech Data Architect

Manhattan, NY

Partner with data engineering and analytics teams to close the gap between data availability and ... in MarTech, CRM, or digital experience architecture, with at least 5 years leading technical ...

7-Eleven

Senior Software Engineer

Irving, TX · On-site

$117K - $155K/yr

The Senior Software Engineer is a hands-on technical contributor within 7-Eleven's Marketing ... MarTech's data, decisioning, and content capabilities to owned web, app, in-store, pump, CRM, and ...

7-ELEVEN

Senior Software Engineer

Dallas, TX

$121K - $159K/yr

The Senior Software Engineer is a hands-on technical contributor within 7-Eleven's Marketing ... MarTech's data, decisioning, and content capabilities to owned web, app, in-store, pump, CRM, and ...

McDonald's - Corporate

Data Engineer III

Chicago, IL · On-site

$138K - $172K/yr

This engineer will partner closely with Product, MarTech, Analytics, and Engineering teams to ... Duties Customer Data Engineering & Integration Design, develop, test, and support customer data ...

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Martech Data Engineer information

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$51.5K

$147.5K

$197K

How much do martech data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for martech data engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

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.

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What states have the most Martech Data Engineer jobs?

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Martech Data Engineer jobs near you
Infographic showing various Martech Data Engineer 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.

MarTech Data & Integration Developer

1-800-Flowers

Jericho, NY • On-site

$100K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

1-800-Flowers rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

The MarTech Data & Integration Developer will help develop and support the data pipelines and integrations that power our marketing technology ecosystem.
As our MarTech capabilities expand across personalization, customer engagement, audience management, experimentation, and measurement, reliable access to customer and behavioral data is increasingly important. This role will work across application development, data engineering, and analytics to help ensure MarTech platforms receive accurate and usable data.
This is a hands-on development role well suited for someone with a foundation in software development, data engineering, analytics, or data science who is interested in growing their skills within a modern MarTech environment.
Key Responsibilities
  • Develop, maintain, and support data pipelines used by MarTech platforms and digital customer experiences.
  • Work with customer, behavioral, transactional, campaign, and clickstream data across enterprise systems.
  • Develop SQL transformations and datasets in Snowflake to support personalization, audience creation, campaign activation, and analysis.
  • Use Python and SQL to automate data processing, validate integrations, troubleshoot issues, and perform data analysis.
  • Develop and support integrations using APIs, event streams, and batch data processing.
  • Build and maintain scheduled data workflows using technologies such as Apache Airflow.
  • Work with Product, Marketing, Engineering, Analytics, and Data teams to understand data and integration requirements.
  • Perform exploratory analysis of customer, clickstream, campaign, and transactional data to identify trends, data quality issues, and opportunities for improvement.
  • Assist with data validation, monitoring, reconciliation, and troubleshooting across MarTech integrations.
  • Support customer identity, segmentation, and personalization data flows.
  • Assist senior team members with the implementation and evaluation of new MarTech capabilities.
  • Document data pipelines, integrations, data definitions, and operational procedures.
  • Use modern AI-assisted development tools and coding agents to improve development, testing, debugging, documentation, and analysis.

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Statistics, or a related field, or equivalent practical experience.
  • 1-3 years of experience in software development, data engineering, analytics engineering, data science, or a related technical role.
  • Strong SQL fundamentals and experience working with relational or analytical datasets.
  • Experience using Python for data processing, automation, analysis, or software development.
  • Experience working with Snowflake or another cloud-based analytical data platform.
  • Basic understanding of ETL/ELT concepts, data pipelines, and data transformation.
  • Familiarity with REST APIs, JSON, and application integration concepts.
  • Strong analytical and problem-solving skills.
  • Ability to learn new technologies and work collaboratively with technical and business teams.

Preferred Qualifications
  • Familiarity with Apache Airflow or another workflow orchestration platform.
  • Exposure to dbt or similar data transformation frameworks.
  • Experience working with clickstream, web analytics, or event-based customer data.
  • Familiarity with Kafka or another event streaming technology.
  • Exposure to Google Cloud Platform or another public cloud environment.
  • Familiarity with Salesforce Marketing Cloud, Salesforce Personalization, customer data platforms, or other MarTech technologies.
  • Understanding of customer segmentation, personalization, experimentation, or campaign measurement.
  • Familiarity with Git and modern software development practices.
  • Experience using AI-assisted development tools or coding agents such as OpenAI Codex.
  • Interest in applying analytical or data science techniques to customer and marketing use cases.

What Success Looks Like
Success in this role means becoming a productive contributor to the data and integration capabilities supporting our MarTech ecosystem. The developer will help improve the reliability and accessibility of customer and behavioral data, reduce manual data processing, support new MarTech integrations, and grow their technical expertise across data engineering, application integration, and analytics.
The expected salary range for this position is $100,000 to $110,000 annually. Actual compensation will be determined based on experience, skills, internal equity, and other factors permitted by law.
To support our commitment to being an employer of choice, we offer comprehensive and competitive health, wellness, and additional benefits to eligible full-time team members. Benefit eligibility may vary based on location, average hours worked, and length of service.
Benefits may include*:
  • Medical, dental, vision, life, and disability insurance for the associate and eligible dependents
  • Flexible Spending Account (FSA)
  • Health Savings Account (HSA)
  • 401(k) retirement savings program
  • Mental health resources and Employee Assistance Program (EAP)
  • Paid vacation time (accrued based on hours worked and tenure)
  • Paid company holidays
  • Employee discount across our family of brands
  • Potential eligibility for annual merit-based compensation increases, where applicable

*Exact benefit terms, conditions, and eligibility requirements are governed by official plan documents and applicable law. The Company reserves the right to modify, amend, or terminate benefit plans and programs at any time.

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