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Marketing Data Engineer Jobs in Colorado (NOW HIRING)

Fivetran

Senior Marketing Insights Analyst

Denver, CO · On-site

$105K - $130K/yr

Partner with Marketing Ops and data engineering to ensure data quality, proper tracking, and ... consistent taxonomy across systems (Salesforce, Marketo, web analytics) What we're looking for

Cymertek

Data Analyst

Aurora, CO · On-site

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing Analyst, Operations Analyst, Reporting Analyst, Insights Analyst, Research Analyst, Quantitative ...

Cymertek Corporation

Data Analyst

Aurora, CO · On-site

$65 - $95/hr

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing Analyst, Operations Analyst, Reporting Analyst, Insights Analyst, Research Analyst, Quantitative ...

Fivetran

Senior Marketing Insights Analyst

Denver, CO · On-site

$105K - $130K/yr

Partner with Marketing Ops and data engineering to ensure data quality, proper tracking, and ... consistent taxonomy across systems (Salesforce, Marketo, web analytics) What we're looking for

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Showing results 21-40

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 2, 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 Business Analyst - Customer Acquisition

BillGO, Inc.

Fort Collins, CO • On-site

$91K - $118K/yr

Full-time

Re-posted 4 days ago

Job description

BillGO is seeking a Senior Business Analyst, Customer Acquisition to drive data-informed decision-making across our BGX performance marketing efforts. This role will focus on customer acquisition analytics, helping optimize campaign performance, improve funnel efficiency, and uncover actionable insights that fuel scalable growth. 

You’ll partner closely with marketing, product, and growth teams to analyze performance across channels, evaluate targeting strategies, and continuously improve how we acquire new customers. 

Why This Role Matters 

This role is critical to BillGO’s growth because it ensures that customer acquisition investments are efficient, scalable, and data-driven. By turning complex performance marketing data into actionable insights, this role directly impacts how effectively we attract and convert new customers while optimizing spend. 

Without this role, acquisition efforts risk becoming fragmented or inefficient; with it, BillGO gains clear visibility into what drives growth, enabling smarter decisions, faster experimentation, and stronger returns on marketing investment. 

What You’ll Do 

Performance Marketing Analytics 

  • Analyze end-to-end acquisition funnel performance (impressions to clicks to conversions to activation).  

  • Monitor and report on campaign performance across channels (paid search, paid social, display, affiliates, etc.).  

  • Identify trends, anomalies, and opportunities to improve efficiency (CAC, conversion rates, ROI).  

Campaign Optimization & Insights 

  • Develop insights to optimize audience targeting, segmentation, and channel mix.  

  • Evaluate and recommend improvements to creative, messaging, and landing page performance.  

  • Partner with marketing teams to design and measure A/B tests and experiments.  

Customer Acquisition Strategy 

  • Build models and analyses to understand customer acquisition cost (CAC), lifetime value (LTV), and payback periods.  

  • Support forecasting and scenario planning for acquisition growth.  

  • Identify high-value customer segments and opportunities to scale efficiently.  

Data & Reporting 

  • Create and maintain dashboards and reporting frameworks for acquisition KPIs.  

  • Ensure data accuracy and consistency across marketing platforms and internal systems.  

  • Translate complex data into clear, actionable insights for stakeholders.  

Cross-Functional Collaboration 

  • Work closely with BGX performance marketing, product, and growth teams to align on goals and metrics.  

  • Partner with data engineering and analytics teams to improve data pipelines and tracking.  

  • Communicate findings and recommendations to both technical and non-technical audiences. 

What You Bring 

  • Strong analytical and problem-solving skills 

  • 5+ years of experience in data analytics, preferably in performance marketing and customer acquisitions 

  • Strong proficiency with data analysis tools and experience working with large datasets  

  • Experience with marketing analytics platforms (e.g., Google Ads, Meta, attribution tools) 

  • Experience with cohort analysis and segmentation 

  • Ability to leverage AI tools (e.g., Claude, ChatGPT) as a force multiplier to improve speed, quality, and impact of work. 

Preferred 

  • Experience in fintech, payments, banking, or lending 

  • Experience with customer experience mapping 

  • Experience with process engineering frameworks (LEAN, Six Sigma, etc.) 

Apply