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Marketing Data Engineer Jobs in Kansas (NOW HIRING)

$132K/yr

About the team Our Product Marketing team's mission is to generate customer insights that inform ... Be the expert on our data analytics buyers - understand how data analysts, analytics engineers, and ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

$91K - $123K/yr

We process, organize, and serve large volumes of campaign and marketing data so it can be used ... The team works closely with product managers, backend engineers, web engineers, data scientists ...

Marketing Automation Engineer

Overland Park, KS · On-site +1

$86K - $144K/yr

Partner with various teams such as Product, Engineering, Data and Analytics, and business ... Experience building marketing automation campaigns, journeys, audience segments, data extensions ...

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Showing results 1-20

Marketing Data Engineer information

See Kansas salary details

$39.7K

$115.7K

$158.3K

How much do marketing data engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for marketing data engineer in Kansas is $115,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,600.00 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.
What are popular job titles related to Marketing Data Engineer jobs in Kansas? For Marketing Data Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Marketing Data Engineer jobs in Kansas look for? The top searched job categories for Marketing Data Engineer jobs in Kansas are:
What cities in Kansas are hiring for Marketing Data Engineer jobs? Cities in Kansas with the most Marketing Data Engineer job openings:

Product Marketing, Data Products

Stripe

$132K/yr

Other

Re-posted 2 days ago


Job description

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Our Product Marketing team's mission is to generate customer insights that inform Stripe's product strategy, and lead go-to-market for our suite of products. Product Marketing is a highly cross-functional role at Stripe, partnering closely with Product and Engineering, Sales, Partnerships, Demand Generation and Campaigns to name a few. Different from many other Product Marketing teams, our team works across the entire product lifecycle, from helping shape the product, to driving launch and commercialization, to growing product adoption post-launch.

We are looking to hire a Product Marketing Manager to own go-to-market strategy and drive adoption for Stripe's data products - including Sigma, Data Pipeline, Database, and new products we're incubating. As monetization grows more complex - from AI companies hyperscaling globally to enterprises integrating Stripe deeply into their operations - data has become a critical lever that helps businesses make better decisions.

What you'll do

As a key owner of our GTM strategy for Stripe's data products, you'll need to quickly build a deep understanding of our products, the data analytics buyer, and our competitive differentiation. You will:

  • Be the expert on our data analytics buyers - understand how data analysts, analytics engineers, and BI practitioners evaluate and adopt tools, and translate those insights into product roadmap recommendations and GTM strategy.
  • Own positioning and messaging for Stripe's data products, building a clear and differentiated point of view in a competitive market.
  • Drive end-to-end go-to-market for data product launches - from defining the narrative and target audience to developing the assets and programs that drive adoption across sold and self-serve motions.
  • Partner with demand generation and campaigns to design and execute programs that reach the data analytics buyer and accelerate product adoption at scale.
  • Build sales enablement - develop the messaging frameworks, competitive battlecards, and assets that help sales teams clearly articulate the value of Stripe's data products.
  • Own competitive intelligence for the analytics and BI landscape, tracking competitors and turning that intelligence into differentiated positioning and sales tools.
  • Define program KPIs and maintain accountability to measurable business outcomes across the data products portfolio.
Minimum requirements
  • 10+ years of product marketing experience, preferably in B2B tech.
  • A builder mentality with a strong bias to action. Comfortable with ambiguity, able to experiment and adapt at pace.
  • Excellent communication and presentation abilities, with a proven track record of distilling complex technical concepts into compelling narratives for executive and external audiences.
  • Exceptional cross-functional leadership and ability to influence across all levels and functions, from senior leadership to project teams.
  • High comfort toggling between strategy and execution - big picture to fine detail.
  • Proven ability to translate customer and market insights into differentiated positioning and measurable GTM programs.
Preferred qualifications
  • Deep familiarity with the data analytics ecosystem - BI tools, cloud data warehouses, and analytics workflows - and a proven ability to market to the data analyst or analytics engineer buyer.
  • Experience marketing to technical audiences such as data engineers, analytics engineers, or developers.
  • Power user (and builder) of AI-powered tooling.