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Marketing Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

JOB SUMMARY Data Engineer - MarTech Retail Media Network Overview Client is looking for a Data ... Build and maintain data models, feature/attribute pipelines, and marketing data feeds to ...

Work hand in hand with Data Engineers and Analytics Engineers to get marketing data into the ... warehouse and modeled. Define requirements, explore raw data, and contribute to data models that ...

Develops best practices for engaging with Data Engineering and IT to deploy production-ready ... marketing analytics audience strategy, or paid media. * 3+ years working with 3rd party data ...

Develops best practices for engaging with Data Engineering and IT to deploy production-ready ... marketing analytics audience strategy, or paid media. * 3+ years working with 3rd party data ...

Develops best practices for engaging with Data Engineering and IT to deploy production-ready ... marketing analytics audience strategy, or paid media. * 3+ years working with 3rd party data ...

Develops best practices for engaging with Data Engineering and IT to deploy production-ready ... marketing analytics audience strategy, or paid media. * 3+ years working with 3rd party data ...

Develops best practices for engaging with Data Engineering and IT to deploy production-ready ... marketing analytics audience strategy, or paid media. * 3+ years working with 3rd party data ...

Who We Are As a core contributor to the Digital Marketing MOPs team, your work will directly ... Engineer and optimize scalable data pipelines using Snowflake, Fivetran, dbt, and related ...

Who We Are As a core contributor to the Digital Marketing MOPs team, your work will directly ... Engineer and optimize scalable data pipelines using Snowflake, Fivetran, dbt, and related ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... marketing technologies, customer data platforms, and data integration challenges. • Knowledge of data quality, data governance, and security practices in data engineering. • Strong problem ...

Data Engineer - MarTech

Irving, TX

$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 ...

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 ...

Data Engineer, Marketplace

Austin, TX

$113K - $136K/yr

Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is ... The AWS Marketplace team is looking for a Data Engineer to play a key role in building insights ...

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Marketing Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do marketing data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for marketing data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 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 is a marketing data engineer?

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.

What are popular job titles related to Marketing Data Engineer jobs in Texas?

For Marketing Data Engineer jobs in Texas, the most frequently searched job titles are:

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

The top searched job categories for Marketing Data Engineer jobs in Texas are:

What cities in Texas are hiring for Marketing Data Engineer jobs?

Cities in Texas with the most Marketing Data Engineer job openings:

Infographic showing various Marketing Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Data Engineer

Compunnel

Irving, TX • On-site

$109K - $132K/yr

Contractor

Posted 16 days ago


Job description

JOB SUMMARY
Data Engineer - MarTech Retail Media Network Overview Client is looking for a
Data Engineer to join the MarTech team! MarTech builds and operates the
platforms and capabilities that power how Client reaches, engages, and
personalizes the experience for millions of customers every day across our owned
web and app, in-store and pump screens, CRM, retail media, and paid channels. If
you get excited about bringing structure to complex, cross-team programs and
driving them from plan to delivery, read on. About the job: You'll be joining a
multidisciplinary MarTech organization spanning four connected work streams,
Retail Media (RMN), CRM & Campaigns, Personalization & Web, and a shared MarTech
Foundation team, alongside product managers, solution architects, software and
data engineers, and QA who build the systems that activate marketing across
every customer touchpoint. As a Data Engineer, you will partner with data
science, architecture, MarTech engineering, and platform owners to close
upstream data-quality, freshness, and coverage gaps that limit personalization
today. This role directly enables timely, accurate, and compliant use of
customer data across every marketing channel.
Key Responsibilities
Design, build, and operate scalable batch and real-time data pipelines in Databricks and
related tooling to support audience, personalization, and measurement use cases.
Build and maintain data models, feature/attribute pipelines, and marketing
data feeds to decisioning systems and measurement platforms.
Implement
data-quality validation, monitoring, and change management so segments, flags,
and attributes are accurate and trustworthy.
Deliver governed customer
attributes and audiences to activation platforms (e.g., Hightouch, Salesforce
Marketing Cloud) with clear ownership and documentation.
Partner with data
science to productionize model features and with architecture to align on data
contracts and identity resolution.
Support privacy and compliance requirements
across all data flows.
Provide leadership-ready status, roadmap, and metrics
reporting, and prepare decision memos that drive cross-team and leadership
alignment.
Required Qualifications
3+ years of experience in a data engineering
role required.
Strong SQL and proficiency in a programming language for data
engineering (e.g., Python or Scala).
Hands-on experience with
Databricks/Spark, data lake/warehouse design, and pipeline orchestration.
Experience with real-time/streaming data (e.g., Kafka) and event-driven
architectures.
Understanding of data modeling, data quality, governance, and change management.
Familiarity with
marketing/customer data concepts (C360, RFM, LTV, loyalty) and compliant
handling of PII.
Preferred Qualifications
Experience with reverse-ETL/activation and identity resolution
(e.g., Hightouch, LiveRamp/UID2).
Experience in a MarTech, digital marketing,
personalization, CRM, or retail-media ecosystem.
Familiarity with platforms in
our stack, e.g., Salesforce Marketing Cloud (SFMC), Databricks, Hightouch,
Kafka, Contentstack / CMS & DAM, LiveRamp / UID2.
Retail or convenience-retail
industry experience.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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