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Martech Data Engineer Jobs (NOW HIRING)

McDonald's - Corporate

Data Engineer III

Chicago, IL · On-site

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 ...

7-ELEVEN

Senior Software Engineer

Irving, TX

$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 ...

McDonald's - Corporate

Data Engineer III

Chicago, IL · On-site

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 ...

CBTS

Data Engineer(onsite, only W2)

Irving, TX · On-site

$55 - $60/hr

Strong SQL and proficiency in a programming language for data engineering (e.g., Python or Scala ... Experience in a MarTech, digital marketing, personalization, CRM, or retail-media ecosystem.

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Maintains overall MarTech industry Data knowledge on latest trends, technology, etc. Mentoring (20%) Manage and lead a technical team responsible for data engineering and analysis. focusing on ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... MarTech industry Data knowledge on latest trends, technology, etc. • Mentoring (20%) Manage and lead a technical team responsible for data engineering and analysis. • focusing on individual ...

ACI Infotech

Lead Data Engineer

Atlanta, GA · On-site

... MarTech industry Data knowledge on latest trends, technology, etc. • Mentoring (20%) Manage and lead a technical team responsible for data engineering and analysis. • focusing on individual ...

Bounteous

CDP Data Engineer

$117K - $140K/yr

Preferred Qualifications: * 3 to 5 or more years of experience in data engineering, MarTech engineering, or CDP operations. * 2 or more years of hands-on Adobe RTCDP experience, including ingestion ...

Visitiq LLC

Sales Engineer

Minneapolis, MN · Remote

$115K - $135K/yr

This role is ideal for someone with experience in adtech, martech, data, identity, audience ... Qualifications * 5-10 years of experience in sales engineering, solutions consulting, solutions ...

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All JobsMartech Data Engineer Jobs

Martech Data Engineer information

See salary details

$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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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.

Data Engineer III

McDonald's - Corporate

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life

This job post has expired 2 days ago. Applications are no longer accepted.

McDonald's rating

5.1

Company rating: 5.1 out of 10

Based on 11,138 frontline employees who took The Breakroom Quiz

60th of 107 rated fast food restaurants

Job description

Job Description:

Company Description:

McDonald's is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily.We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald's remains one of the world's leading corporations after almost 70 years. Joining McDonald's means thinking big and preparing for a career that can have influence around the world.

At McDonald's, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range ofoutstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.

Department Overview

We are seeking a highly skilled Data Engineer IIIto join the mCDP mParticle engineering team. This role is responsible for designing, developing, and maintaining customer data pipelines, audience-building capabilities, activation feeds, and platform integrations that power customer engagement experiences across digital and restaurant channels.The ideal candidate is a hands-on engineer with strong data engineering and analytics experience who can independently own initiatives from requirements through production deployment.

This engineer will partner closely with Product, MarTech, Analytics, and Engineering teams to translate complex business requirements into scalable technical solutions while ensuring reliability, quality, and maintainability across the customer data ecosystem.This role requires strong technical execution, problem-solving, and the ability to navigate ambiguity while delivering high-quality solutions with minimal oversight.

Duties

Customer Data Engineering & Integration

  • Design, develop, test, and support customer data pipelines that ingest, transform, enrich, and distribute customer data across the mParticle ecosystem.
  • Support onboarding of new data sources, attributes, customer events, and downstream activation integrations.

Audience Engineering & Activation

  • Build and maintain data pipelines that power audience segmentation, customer traits, profile enrichment, and activation use cases.Implement audience qualification and refresh logic supporting both batch and real-time use cases.
  • Configure and support activation feeds to downstream marketing and personalization platforms, ensuring data accuracy and timeliness.
  • Partner with Product and MarTech teams to implement audience strategies including onboarding, re-engagement, loyalty, churn mitigation, and personalization use cases.

Real-Time Data Processing

  • Build scalable solutions using technologies such as Kafka, Spark Structured Streaming, Flink, Dataflow, or equivalent distributed processing platforms.
  • Support event-driven integration patterns that enable low-latency customer activation and personalization scenarios.
  • Assist with implementation and maintenance of eventing platforms such as Kafka, Confluent, or managed messaging services.

Data Quality & Operational Excellence

  • Implement automated validation, reconciliation, and quality checks across customer data pipelines.
  • Maintain documentation for data flows, mappings, business logic, and operational procedures.

Engineering Delivery

  • Independently manage and deliver complex engineering work items with minimal supervision.
  • Collaborate with team members during sprint planning, solution design, testing, and deployment activities.
  • Perform code reviews and contribute to engineering best practices across the team.
Qualifications
  • 5-8+ years of professional Data Engineering experience.
  • 3+ years working with cloud-native data platforms on GCP, AWS, or Azure.
  • Expert-level SQL, including complex joins, window functions, optimization, and large-scale data analysis.
  • Strong experience designing and developing ETL/ELT pipelines.
  • Strong kwnoledg of programing languages such as Python, SQL, JavaScript or Node.js
  • Experience with DevOps & Reliability - CI/CD pipelines, Git-base development workflows.
  • Experience with streaming and data processing (Kafka, Spark/PySpark, Flink, Dataflow / Apache Beam)

Must have:

  • Experience supporting Customer Data Platforms such as mParticle, Segment, Adobe RTCDP, Braze, Tealium, or similar platforms.
  • Experience implementing customer attributes, audience segmentation, identity resolution, traits, and activation feeds.
  • Experience with GCP preferred (BigQuery, Pub/Sub, Dataflow, Cloud Run, Cloud Storage)
Compensation

Bonus Eligible:Yes

Long - Term Incentive:Yes

Benefits Eligible: Yes

Salary Range

The expected salary range for this role is$138,207.00 -$172,758.00per year
The above represents the expectedsalaryrange for this job requisition. Ultimately, in determining yourpay, we may also consider your experience, and other job-related factors.

Additional Information:

Benefits eligible: This position offers health and welfare benefits, including but not limited to comprehensive health insurance, which includes medical, prescription drug, mental health, dental and vision coverage, as well as, life insurance.

Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.

Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long-term incentive plan.

McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case-by-case basis.

McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Nothing in this job posting or description should be construed as an offer or guarantee of employment.

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About McDonald's

Sourced by ZipRecruiter

What began as a small drive-in restaurant in San Bernardino, California and has grown into an American icon that proudly serves 63 million customers every day around the globe. While much has changed over the last six decades, Ray Kroc's original commitment to Quality, Service, Cleanliness and Value has endured and made McDonald's a trusted favorite for over 65 years.

Industry

Food services and drinking places and restaurants

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

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