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Marketing Data Engineer Jobs in Colorado (NOW HIRING)

Xometry

Senior Sales Operations Analyst

Denver, CO · On-site

Serve as the escalation point and liaison across Product, Marketing, Data Engineering, and Finance to resolve data discrepancies, align on definitions, and ensure a single source of truth across ...

Wsgr

Principal Solutions Engineer

Boulder, CO · On-site +1

Partner with the data operations team to extract, transform, and load (ETL) data from marketing ... CI/CD (Azure DevOps/GitHub), Terraform, test automation, versioning, feature flags. * Security ...

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All JobsMarketing Data Engineer JobsMarketing Data Engineer Jobs in Colorado

Marketing Data Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do marketing data engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for marketing data engineer in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 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.

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

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

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

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

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

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

Marketing Data Engineer jobs near you
Infographic showing various Marketing Data Engineer job openings in Colorado as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $136,399 per year, or $65.6 per hour.

Senior Growth Marketing Engineer

Restaurant365

Denver, CO • On-site

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago

Job description

Restaurant365 is a SaaS company disrupting the restaurant industry! Our cloud-based platform provides a unique, centralized solution for accounting and back-office operations for restaurants. Restaurant365's culture is focused on empowering team members to produce top-notch results while elevating their skills. We're constantly evolving and improving to make sure we are and always will be "Best in Class" ... and we want that for you too!

***This role requires a hybrid work schedule based out of one of our office locations: Austin, TX; Irvine, CA; Bay Area, Denver or Akron, OH. ***
The Growth Marketing Engineer is responsible for building the AI-enabled performance systems that make Restaurant365's Demand Generation engine more scalable, measurable, and effective. This senior individual contributor role sits at the intersection of growth marketing, marketing operations, marketing analytics, advertising operations, AI workflow orchestration, and revenue systems. Serves as the principal advisor on growth performance architecture, experimentation strategy, and AI-enabled decision frameworks across Marketing, SDR, and RevOps. This is not a paid media buying role. Instead, this role builds the systems that help channel owners, functional leaders, Marketing Operations, RevOps, and agency partners make better decisions faster 
How you'll add value:

  • Build, own, and continuously improve the AI-enabled growth performance operating system across Marketing, SDR, and RevOps while establishing enterprise standards for experimentation, attribution, and performance measurement. 

  • Design and manage AI workflows, agent orchestration, prompt systems, and automation logic that support campaign planning, reporting, signal detection, and optimization. 

  • Define campaign signal architecture across paid media, lifecycle, events, web, SDR motions, Salesforce, and marketing automation systems. 

  • Own measurement logic for campaign performance, including how signals are captured, validated, interpreted, and used for optimization. 

  • Ensure pixel tracking, Meta CAPI, Google enhanced conversions, offline conversion flows, UTMs, form tracking, landing page tracking, and conversion events are accurate and performance-ready. 

  • Partner with Marketing Operations on platform configuration and integration execution, while owning performance requirements, QA standards, and business logic. 

  • Troubleshoot tracking and attribution discrepancies across ad platforms, GA4, Salesforce, HubSpot, BI tools, and internal reporting. 

  • Build lightweight integrations, API-connected workflows, automated reporting processes, and data handoffs across marketing and revenue systems. 

  • Develop and maintain experimentation frameworks for campaigns, audiences, offers, creative, landing pages, lifecycle motions, and paid media tests. 

  • Create repeatable test design, measurement, documentation, and learning loops that improve experiment velocity and decision quality. 

  • Build dashboards, performance views, and decision briefs that help Demand Gen leaders understand what to scale, pause, test, or fix. 

  • Improve the quality and usability of attribution inputs, conversion events, campaign data, and performance reporting. 

  • Define the performance measurement frameworks and signal-quality standards used across paid media, lifecycle, SDR, and pipeline generation programs. 

  • Set measurement governance, optimization standards, and experimentation expectations for internal channel owners and agency partners, driving accountability across GTM teams. 

  • Support Qualified SDR and lifecycle motions by defining signal-to-action logic, QA requirements, and feedback loops. 

What you'll need to be successful in this role:

  • 7+ years of experience in B2B SaaS growth marketing, marketing operations, marketing analytics, growth systems, revenue operations, advertising operations, or technical demand generation. 

  • Demonstrated experience building AI workflows, AI agents, automation systems, or AI-enabled GTM processes. 

  • Strong hands-on experience with HubSpot, Salesforce, and Salesforce-connected marketing workflows. 

  • Experience building, managing, or troubleshooting API integrations across marketing, sales, analytics, advertising, or data systems. 

  • Hands-on experience with tracking QA, pixel validation, CAPI or server-side tracking concepts, enhanced conversions, offline conversion flows, UTM governance, and conversion event validation. 

  • Strong analytical skills with the ability to connect technical details to business outcomes, including pipeline, conversion, CAC, ROI, and revenue impact. 

  • Strong communication and collaboration skills, with the ability to explain complex technical issues clearly to marketing, sales, RevOps, analytics, and executive stakeholders. 

 

  • Experience with Marketo-to-HubSpot migrations, HubSpot AI, or similar B2B marketing automation transformation initiatives. 

  • Experience with 6sense, Qualified, Clay, Apollo, Warmly, Demandbase, or similar GTM intelligence and workflow tools. 

  • Experience with GA4, Google Tag Manager, server-side tracking, Meta CAPI, Google enhanced conversions, or other advertising operations infrastructure. 

  • Experience with SQL, Python, JavaScript, lightweight scripting, BI tools such as Domo, Looker, Tableau, or Power BI, and paid media platforms such as Google Ads, Bing, LinkedIn Ads, Meta, YouTube, or StackAdapt. 

R365 Team Member Benefits & Compensation
  • This position has a salary range of $130,000 - 160,000. The above range represents the expected salary range for this position. The actual salary may vary based upon several factors, including, but not limited to, relevant skills/experience, time in the role, business line, and geographic location. Restaurant365 focuses on equitable pay for our team and aims for transparency with our pay practices.
  • Comprehensive medical benefits, 100% paid for employee.
  • 401k + matching.
  • Equity Option Grant.
  • Unlimited PTO + Company holidays.
  • Wellness initiatives.
Internal Employees - R365 is committed to growing talent from within.  If you see a role that excites you and you meet the qualifications, we encourage you to apply -regardless of your current location or work arrangement.  Reach out to your People Business Partner if you have questions.
 
#BI-Remote
$130,000 - $159,999 a year
#LI-LH1

Internal Employees - R365 is committed to growing talent from within.  If you see a role that excites you and you meet the qualifications, we encourage you to apply -regardless of your current location or work arrangement.  Reach out to your People Business Partner if you have questions.
 

DYN365, Inc d/b/a Restaurant365 is an equal opportunity employer.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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