1

Marketing Data Engineer Jobs in Reno, NV (NOW HIRING)

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

Marketing Coordinator

Reno, NV · On-site

$31.25 - $39.50/hr

Wood Rodgers, a leading engineering consulting firm, is seeking a Marketing Coordinator to join our ... Maintain CRM data, content libraries, and marketing assets, including prior proposals, templates ...

Wood Rodgers, a leading engineering consulting firm, is seeking a Marketing Coordinator to join our ... Maintain CRM data, content libraries, and marketing assets, including prior proposals, templates ...

Support validation testing efforts by correlating simulation results with empirical data ... including Engineering, Marketing, and Sales. Company Info About Legrand Legrand is the global ...

Across the U.S., leading companies in healthcare, government, engineering, manufacturing ... marketing or promotional purposes. Message frequency may vary for text messages. Message and data ...

Sales and Marketing support: supports the sales and marketing team with product and process ... Working knowledge of computer systems, data processing, and familiarity with complex ERP systems ...

Sales and Marketing support: supports the sales and marketing team with product and process ... Working knowledge of computer systems, data processing, and familiarity with complex ERP systems ...

Experience with laboratory analysis using X-Ray, SEM, ICP, or similar tools. * A background as a quality engineer in high-volume manufacturing is strongly desired. * Data analysis experience such as ...

Data Science Tutor

Reno, NV · Remote

$40/hr

... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ... marketing analytics, and healthcare informatics. * Curriculum Awareness & Adaptive Instruction:

next page

Showing results 1-20

Marketing Data Engineer information

See Reno, NV salary details

$44.4K

$129.3K

$177K

How much do marketing data engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for marketing data engineer in Reno, NV is $129,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,100.00 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.

Are data engineers highly paid?

Data engineers typically earn high salaries due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Their compensation often reflects the demand for expertise in data architecture, pipeline development, and data management across industries.

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 data quality and accessibility for marketing analytics and decision-making.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their expertise is crucial for integrating AI tools effectively into data workflows.

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 positions often require advanced technical expertise, certifications, and may include bonuses or stock options that contribute to total compensation.
What are popular job titles related to Marketing Data Engineer jobs in Reno, NV? For Marketing Data Engineer jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Marketing Data Engineer jobs in Reno, NV look for? The top searched job categories for Marketing Data Engineer jobs in Reno, NV are:
Marketing Operations Analyst

Marketing Operations Analyst

FocusKPI

Sparks, NV

Full-time

Posted 22 days ago


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


FocusKPI logo

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