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Quick apply
Director of Sales & Marketing | Populus Denver
$150K - $165K/yr
The successful candidate will combine strategic sales leadership, innovative marketing, data-driven ... programming. * Provide strategic oversight of third-party marketing, creative, digital, public ...
Director of Sales & Marketing | Populus Denver
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Director of Sales & Marketing | Populus Denver
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Marketing Data Engineer information
See Colorado salary details
$46.8K - $59.5K
0% of jobs
$59.5K - $72.2K
1% of jobs
$72.2K - $84.9K
3% of jobs
$84.9K - $97.6K
4% of jobs
$97.6K - $110.4K
7% of jobs
$121.5K is the 25th percentile. Wages below this are outliers.
$110.4K - $123.1K
11% of jobs
$123.1K - $135.8K
12% of jobs
The median wage is $139.2K / yr.
$135.8K - $148.5K
45% of jobs
$148.5K - $161.2K
8% of jobs
$161.2K - $173.9K
5% of jobs
$173.9K - $186.6K
3% of jobs
$46.8K
$136.4K
$186.6K
How much do marketing data engineer jobs pay per year?
What is the difference between Marketing Data Engineer vs Data Analyst?
| Aspect | Marketing Data Engineer | Data Analyst |
|---|---|---|
| Primary Focus | Building and maintaining data pipelines for marketing data | Analyzing data to generate insights and reports |
| Skills & Certifications | SQL, ETL, data warehousing, cloud platforms | SQL, Excel, data visualization tools |
| Work Environment | Data engineering teams within marketing or analytics departments | Business units, marketing teams, or analytics departments |
| Tools Used | Apache Spark, Hadoop, cloud data services | Tableau, 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?
How do marketing data engineers typically collaborate with marketing teams to drive data-driven campaigns?
What are the key skills and qualifications needed to thrive as a marketing data engineer, and why are they important?

Job description
FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company.
As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack.
Responsibilities:
- Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
- Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.
- Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
- Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
- Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
- Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes.
Requirements:
- Bachelor’s degree in Data Science, Computer Science, or a related field
- Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment
- Proficiency in SQL for data manipulation and analysis. Comfortable with Python.
- Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau
- Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
- Exceptional attention to detail and a commitment to maintaining high data quality standards.
- Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes
No C2C resumes are considered
About FocusKPI
Sourced by ZipRecruiter
Industry
Computing infrastructure providers, data processing, web hosting
Company size
51 - 200 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2010