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Marketing Data Engineer Jobs (NOW HIRING)

KEY RESPONSIBILITIES Data Connections & Pipeline Integrity * Design, build, and maintain data pipelines that connect marketing platforms (paid media, CRM, on-site analytics) to internal data ...

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 2 days a ...

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 ...

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 ...

The Sales & Marketing Data Manager is an internal IT role that serves as a strategic partner to ... Lead the design and delivery of modern data engineering solutions that enable AIready data ...

The Sales & Marketing Data Manager is an internal IT role that serves as a strategic partner to ... Lead the design and delivery of modern data engineering solutions that enable AIready data ...

The Sales & Marketing Data Manager is an internal IT role that serves as a strategic partner to ... Lead the design and delivery of modern data engineering solutions that enable AIready data ...

The Sales & Marketing Data Manager is an internal IT role that serves as a strategic partner to ... Lead the design and delivery of modern data engineering solutions that enable AI-ready data ...

Sr. Data Engineer

El Segundo, CA · On-site +1

$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 ...

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 ...

... Data Engineering and Analytics teams. • Define and enforce data quality standards across all ... Marketing Operations Manager to ensure lists are formatted, mapped, and structured exactly to the ...

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Marketing Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do marketing data engineer jobs pay per year?

As of Jul 14, 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.

What engineers make $300,000 a year?

Senior engineering roles such as Software Engineers, Data Engineers, and Cloud Engineers can earn $300,000 or more annually, especially with extensive experience, specialized skills, and working in high-demand industries or companies. These roles often require advanced technical expertise, certifications, and sometimes leadership responsibilities.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in SQL, Python, cloud platforms, and big data tools. Salaries vary by industry, location, and company size, with senior roles and specialized expertise commanding higher pay.

What does a marketing data engineer do?

A marketing data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze marketing data. They work with tools like SQL, Python, and cloud platforms to ensure accurate data flow for marketing insights and decision-making.

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 engineers make 500,000?

Senior engineering roles such as software engineers, data engineers, and systems engineers with extensive experience, specialized skills, and leadership responsibilities can earn $500,000 or more annually. These high salaries often involve working in high-demand industries, managing large-scale projects, or holding executive-level positions, sometimes supplemented by bonuses and stock options.
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:
Marketing Engineer

Marketing Engineer

Dermalogica

Carson, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 11 days ago


Job description

ABOUT DERMALOGICA
Dermalogica is the world's leading professional skin health brand, trusted by skin therapists in over 80 countries. Backed by The International Dermal Institute, we are driven by a singular belief: skin health education changes lives. Our DTC ecommerce business is a core growth engine, and the team behind it operates at the intersection of data, technology, and consumer-first thinking.
THE OPPORTUNITY
We are looking for a Marketing Engineer to join our E-commerce team. In this role, you will serve as the connective tissue between our data sources, marketing platforms, and business outcomes. You will own the integrity and usability of marketing data across paid media, CRM, and on-site channels - ensuring our teams have clean, reliable, actionable data to drive decisions that directly influence ecommerce sales performance.
This is a hands-on, technically oriented role suited for someone who understands both the engineering side of data pipelines and the commercial context of ecommerce marketing. You will work closely with growth, analytics, media, and CRM teams to build and maintain the data infrastructure that powers our marketing ecosystem.
KEY RESPONSIBILITIES
Data Connections & Pipeline Integrity
  • Design, build, and maintain data pipelines that connect marketing platforms (paid media, CRM, on-site analytics) to internal data warehouses and reporting tools
  • Ensure clean, reliable, and consistent data flows between sources including Meta, Google Ads, TikTok, Klaviyo, Shopify, and analytics platforms
  • Implement and manage API integrations and data connectors; identify and resolve data gaps, duplication, or quality issues proactively
  • Build and maintain data transformation logic to standardize naming conventions, event schemas, and attribution frameworks across platforms

Marketing Data Quality & Governance
  • Establish and enforce data quality standards for marketing event tracking, UTM structures, and audience segmentation
  • Audit and validate tracking implementation across paid channels and the ecommerce site; flag and fix inconsistencies before they impact reporting
  • Partner with analytics to ensure dashboards and attribution models are powered by accurate, trustworthy data
  • Maintain documentation of data sources, schemas, transformations, and known limitations - keeping the team informed and self-sufficient

Tag Management & On-Site Tracking
  • Own tag management (Google Tag Manager or equivalent) including implementation, QA, and ongoing governance of tracking tags across dermalogica.com
  • Ensure pixel and event data (add to cart, purchase, product views, etc.) is firing accurately and feeding correctly into media platforms for bidding and measurement
  • Support the implementation of server-side tracking solutions to improve data accuracy in a cookieless environment

Ecommerce & Channel Performance Context
  • Understand how paid media (search, social, display), CRM (email/SMS via Klaviyo), and on-site behavior collectively influence ecommerce revenue
  • Collaborate with media, CRM, and web teams to translate business questions into data requirements - and data outputs into actionable insights
  • Support audience data activation, including first-party audience builds, suppression lists, and lookalike seeds across ad platforms
  • Contribute to multi-touch attribution analysis and incrementality measurement by ensuring the underlying data is sound

QUALIFICATIONS
Required
  • 3-5 years of experience in a marketing engineering, marketing analytics engineering, or data engineering role - ideally within a DTC ecommerce environment
  • Hands-on experience building and maintaining data pipelines and integrations between marketing platforms (Meta, Google, TikTok, Klaviyo, Shopify, GA4, etc.)
  • Proficiency in SQL for querying, transforming, and validating marketing data
  • Experience with tag management systems (Google Tag Manager strongly preferred); understanding of tracking event schemas and pixel implementation
  • Working knowledge of JavaScript for tag-related customizations and data layer management
  • Solid understanding of ecommerce KPIs - ROAS, CVR, AOV, LTV, attributed revenue - and how marketing channels interact to drive sales
  • Familiarity with first-party data practices, cookie limitations, and the shift toward privacy-safe tracking methods
  • Organized and detail-oriented with strong documentation habits and a proactive approach to data quality issues

Preferred
  • Experience with Python for data manipulation, API calls, or pipeline scripting
  • Familiarity with data warehouse or lake tools (BigQuery, Snowflake, dbt, or similar)
  • Exposure to CDP platforms (Segment, Tealium, or equivalent)
  • Experience with Klaviyo data structures, event flows, and list/segment integrations
  • Background in beauty, wellness, or consumer goods ecommerce
  • Experience implementing server-side tagging or Conversions API (Meta CAPI, Google Enhanced Conversions)

WHAT SUCCESS LOOKS LIKE IN THIS ROLE
  • Marketing data is clean, consistent, and trusted - teams make decisions with confidence, not caveats
  • Data pipelines run reliably; issues are caught proactively before they surface in reports or campaigns
  • Platform pixels and tags are firing accurately, improving media performance through better signals
  • The Growth Marketing team spends less time questioning data and more time acting on it
  • You are known as the person who bridges technical data work and marketing strategy - fluent in both worlds

CORE COMPETENCIES
  • Technical rigor: you care deeply about data accuracy and build things that last
  • Commercial curiosity: you understand why clean data matters for revenue, not just for dashboards
  • Clear communication: you can explain a data issue or architecture decision to both engineers and marketers
  • Ownership mindset: you flag problems and drive them to resolution without being asked twice
  • Collaborative by default: you work across functions and earn trust through reliability and clarity

WORKING AT DERMALOGICA
At Dermalogica, we believe that the right data infrastructure is as important as the right product. Our Growth Marketing team is committed to building systems that support informed, intelligent decisions - and this role sits at the heart of that mission. You will join a team that values expertise, transparency, and continuous learning, in a company that has led the professional skin health category for decades.
The expected base salary range for this position is $110K to $125K. The exact base salary is determined by various factors including experience, skills, education, and budget. This position is also eligible for participation in the company discretionary bonus plan, based on personal performance and company results.
The role will be based out of the corporate headquarters in Carson, Los Angeles. It will be hybrid with applicable on site work guidelines.
Apply now and become a team member for the preeminent global leader in skincare providing a competitive and comprehensive health benefits package including life/accident/disability insurance, wellness programs, paid family leave, domestic partner benefits, education/training programs, product allowances, fitness reimbursement, 401(k) matching, and a host of other great perks.
Dermalogica is an equal opportunity employer committed to fostering an inclusive culture where all employees are valued, supported, and empowered to succeed.