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Marketing Data Engineer Jobs (NOW HIRING)

Fabletics

Sr. Data Engineer

El Segundo, CA · On-site

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and ... Working closely with teams across Product, Marketing, Finance, and Data Science, you'll translate ...

1 point system

Marketing Data Analytics

San Francisco, CA · Remote

$88K - $110K/yr

MUST HAVES: 8+ yrs of IT/Engineering 4-yr Degree (Computer Science or Related) 5+ yrs of Data Analytics, with specific work with Marketing contribution to Partner-Sourced Pipelines 3+ yrs Data ...

Staffingine LLC

Senior GCP Data Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Contract Data Engineering & Pipelines * Design and develop batch and streaming pipelines using ... Integrate pipelines with marketing and analytics platforms * Work with cross-functional teams to ...

Fortune

Marketing Data and Analytics Engineer

New York, NY · On-site

$94K - $117K/yr

You'll sit at the intersection of data engineering and marketing operations: designing the pipelines, definitions, and governance structures that connect Salesforce Sales Cloud and Marketing Cloud ...

Dentsu, Inc.

Marketing Data Scientist

New York, NY · On-site

$113K - $170K/yr

Partner with media, data engineering, and analytics teams to transform business objectives into actionable measurement strategies. * Deliver insights that drive optimization of media and marketing ...

Humana

Senior Associate, Marketing Data Manager

Ability to collaborate effectively in cross-functional teams, including marketing pods, data engineering, and analytics. * Strong problem-solving skills with a proactive mindset and attention to ...

Humana

Senior Associate, Marketing Data Manager

Ability to collaborate effectively in cross-functional teams, including marketing pods, data engineering, and analytics. * Strong problem-solving skills with a proactive mindset and attention to ...

OpenArt

Marketing Data Scientist

San Carlos, CA · On-site

$150K - $180K/yr

Work across marketing, growth, product, data engineering, and finance - one of the most cross-functional roles in the company. * Build from 0 → 1. The attribution model, channel taxonomy, and ...

New

Humana

Senior Associate, Marketing Data Manager

Ability to collaborate effectively in cross-functional teams, including marketing pods, data engineering, and analytics. * Strong problem-solving skills with a proactive mindset and attention to ...

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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 Aug 23, 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 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 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.

More about Marketing Data Engineer jobs

What cities are hiring for Marketing Data Engineer jobs?

Cities with the most Marketing Data Engineer job openings:

What states have the most Marketing Data Engineer jobs?

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

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

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Marketing Data Engineer jobs near you
Infographic showing various Marketing 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Sr. Data Engineer

Fabletics

El Segundo, CA • On-site

$140K - $150K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 27 days ago

Fabletics rating

6.9

Company rating: 6.9 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

Job description


Fabletics is currently looking for a Senior Data Engineer.
How Do You Fit In?
As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and models that power the business insights driving our growth. You'll leverage cloud technologies, automation, and modern data engineering practices to transform complex datasets into reliable, high-quality assets. Working closely with teams across Product, Marketing, Finance, and Data Science, you'll translate business needs into robust technical solutions that improve data accessibility, performance, and governance - all in service of making Fabletics a more data-informed, faster-moving company.
About the Team
We're a lean, high-impact Data Engineering team building the data foundations that power measurement, personalization, and product innovation at Fabletics. Operating at the intersection of engineering, analytics, and business strategy, we deliver scalable pipelines and accurate performance insights that drive decisions across the company - from merchandising and member experience to marketing efficiency and supply chain. We move quickly, own problems end-to-end, and build systems that directly influence how Fabletics grows. If you want to build reliable, scalable data systems with real, visible impact, this is the team for you.
What You'll Do:
  • Design and build scalable data pipelines and models using Databricks, PySpark, and SQL to support Fabletics' commerce, membership, and marketing data needs.
  • Integrate and transform data from multiple sources - including e-commerce platforms, CRM, logistics, and third-party tools - with strong quality, observability, and governance standards.
  • Orchestrate and automate workflows using Airflow and CI/CD pipelines in GitHub Actions.
  • Develop and maintain infrastructure using Terraform and support DevOps tasks including deployments, monitoring, and environment management.
  • Optimize pipelines for reliability, performance, and cost efficiency across cloud environments.
  • Collaborate closely with Product, Data Science, Marketing Analytics, and Engineering teams to deliver scalable, efficient data solutions that support Fabletics' pace of business.

What You Can Bring:
  • 6+ years of relevant development experience-in data platform or data engineering-in fast paced environments
  • Extensive experience in data engineering, including scalable pipeline development, data integration, and data modeling.
  • Strong proficiency in SQL, Python, PySpark, Databricks, Snowflake and workflow orchestration with Airflow.
  • Hands-on experience with CI/CD using GitHub Actions and infrastructure automation with Terraform.
  • Strong grounding in data governance, data quality, and compliance best practices.
  • Ability to design resilient data architectures across warehouses, lakes, and streaming systems.
  • Proven skill in translating complex business requirements into effective, maintainable data solutions.
  • Familiarity with machine learning concepts and how they integrate with data engineering workflows.
  • A genuine interest in integrating AI and LLMs into daily engineering work, including agentic development patterns - building autonomous, multi-step AI workflows that enhance data pipelines and engineering productivity - without sacrificing simplicity or code maintainability.
  • Ideal candidate brings foundational AI literacy, including experience using generative AI tools, and a proactive mindset to experiment with new technologies to drive productivity and innovation.
  • Bonus: experience in retail, e-commerce, or subscription/membership business models.

Where we are:
  • This role will be based in our El Segundo Headquarters

Compensation & Total Rewards:
At Fabletics, we believe work and life should fit together! We continue to build a culture of flexibility, to empower you to do your best and put yourself first. Our Total Rewards program rewards employees for their hard work, supporting their health, well-being, families, and ultimately their life journey. Total Rewards at Fabletics includes:
-Hybrid Work Schedule*
-Discretionary Paid Time Off*
-Summer Fridays*
-Healthcare Plans
-Employee Discounts
-401k
-Annual Bonus Program
-Equity Program*
-And More
*Varied for retail, fulfillment and fully remote roles.
The annual base salary range for this position is from $140,000-$150,000. The range provided includes the base salary that Fabletics expects to pay for the role. Offered base salary will be dependent on factors including the scope and complexity of the role, candidate's related work experience, subject matter expertise and work location.
#LI-LS1
#LI-Fabletics
Security Alert: Protect yourself from scams
At Fabletics, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Fabletics emphasizes legitimate recruitment practices. Initial communication is primarily via official email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Teams or Zoom-never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.
Fabletics, Inc. is an equal opportunity employer. We recruit, employ, compensate, develop, and promote regardless of race, national origin, religion, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, and other protected status as required by applicable. At Fabletics, Inc., we champion a vibrant workplace culture that thrives on diversity law and do not tolerate discrimination or harassment. We are one team from many backgrounds, innovating through diversity of individuals, who are driven by passion for creating an inclusive space for all. Fabletics, Inc. will continue to champion a workplace culture that prizes diversity and inclusivity.
We encourage you to apply regardless of meeting all qualifications and/or requirements.

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