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Martech Data Engineer Jobs (NOW HIRING)

Visitiq LLC

Sales Engineer

Minneapolis, MN · Remote

$115K - $135K/yr

This role is ideal for someone with experience in adtech, martech, data, identity, audience ... Qualifications * 5-10 years of experience in sales engineering, solutions consulting, solutions ...

Publicis Groupe Holdings B.V

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

This role reports to the Engineering Director and collaborates closely with fellow data engineers ... Experience in the AdTech/MarTech space, specifically programmatic advertising, identity resolution ...

Visitiq LLC

Sales Engineer

Minneapolis, MN · Remote

$115K - $135K/yr

This role is ideal for someone with experience in adtech, martech, data, identity, audience ... Qualifications * 5-10 years of experience in sales engineering, solutions consulting, solutions ...

TMI ACQUISITION LLC

Head of Technology

Tucson, AZ · On-site

... CRM/martech, data, security, and infrastructure, all unified under one strategic leader ... Bachelor's degree in Computer Science, Engineering, or a related field; advanced degrees are a plus.

Macy's

Principal, Engineer - MarTech

Johns Creek, GA

$180K - $300K/yr

The Principal, Engineer demonstrates strong proficiency in Java, Python, data structures, and ... Experience using Marketing Technology (MarTech) stack. Technical Proficiency : Architecture ...

Staffingine LLC

Martech Specialist

New York, NY · On-site

$67K - $92K/yr

Martech Specialist- Google Analytics Job Location: NYC Job Type: Contract * Good experience in ... Work closely with the marketing team digital marketing data Developers to identify opportunities ...

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Martech Data Engineer information

See salary details

$51.5K

$147.5K

$197K

How much do martech data engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for martech data engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

How does a Martech Data Engineer typically collaborate with marketing and analytics teams to achieve business goals?

As a Martech Data Engineer, you will regularly partner with marketing and analytics teams to design, build, and maintain data pipelines that support campaign performance tracking and customer segmentation. You’ll work closely with marketers to understand their data needs and translate them into scalable technical solutions, often attending cross-functional meetings to plan new data integrations or troubleshoot issues. Collaboration also involves ensuring data quality, managing ETL processes, and enabling self-serve analytics by making data accessible and reliable for non-technical stakeholders. This close teamwork helps drive data-driven decision-making and ensures marketing strategies are effectively measured and optimized.

What is a Martech Data Engineer?

A Martech Data Engineer is a technology professional who specializes in building and maintaining the data infrastructure that supports marketing technology (Martech) platforms. They enable the collection, integration, and analysis of marketing data from multiple sources, ensuring data quality and accessibility for marketing teams. Their work helps organizations make data-driven marketing decisions, personalize customer experiences, and measure campaign effectiveness. Martech Data Engineers often collaborate with marketers, analysts, and other engineers to implement data pipelines and optimize marketing operations.

What are the key skills and qualifications needed to thrive as a Martech Data Engineer, and why are they important?

To thrive as a Martech Data Engineer, you need a solid background in data engineering, SQL, and marketing technology platforms, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or GCP), and certifications in marketing automation systems like Salesforce or Adobe Experience Cloud are highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help bridge the gap between marketing and technical teams. These skills enable the efficient integration, analysis, and utilization of marketing data, driving better decision-making and campaign performance.

What is the difference between Martech Data Engineer vs Data Analyst?

AspectMartech Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, marketing tech toolsData visualization, reporting, business insights
Employer & Industry UsageMarketing agencies, tech companies, e-commerceMarketing teams, business intelligence units
Common Search & Comparison IntentUnderstanding technical data roles in marketingAnalyzing marketing data for insights

The Martech Data Engineer focuses on building and maintaining data pipelines and infrastructure for marketing data, while the Data Analyst interprets data to generate insights and reports. Both roles are essential in marketing tech environments but serve different functions within data management and analysis.

More about Martech Data Engineer jobs
What cities are hiring for Martech Data Engineer jobs? Cities with the most Martech Data Engineer job openings:
What states have the most Martech Data Engineer jobs? States with the most job openings for Martech Data Engineer jobs include:
What job categories do people searching Martech Data Engineer jobs look for? The top searched job categories for Martech Data Engineer jobs are:
Martech Data Engineer jobs near you
Infographic showing various Martech Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.

Sales Engineer

Visitiq LLC

Minneapolis, MN • Remote

$115K - $135K/yr

Full-time

Posted 23 days ago

Job description

Overview
VisitIQ is looking for a commercially-minded Sales Engineer to act as the technical bridge between our sales team, customers, and product organization. This role is ideal for someone with experience in adtech, martech, data, identity, audience activation, media, analytics, or SaaS platforms. The SE will support pre-sales discovery, product demonstrations, technical validation, solution design, implementation planning, and customer onboarding. The right candidate will be able to translate customer business challenges into clear technical solutions, helping prospects and customers understand how VisitIQ can identify, enrich, segment, activate, and measure high-value audiences.
Responsibilities
  • Lead technical discovery calls with prospects and customers to understand their data, media, CRM, website, and activation requirements.
  • Deliver compelling product demonstrations tailored to specific customer use cases, including identity resolution, visitor identification, intent audiences, enrichment, segmentation, activation, and reporting.
  • Partner closely with Account Executives to map customer pain points to VisitIQ platform capabilities and commercial value.
  • Support proof-of-concept engagements, pilot programs, and technical validation processes.
  • Help design customer workflows across website pixel implementation, data onboarding, CRM enrichment, audience creation, activation, and measurement.
  • Work with customers and internal teams on integrations, including pixels, APIs, CRM platforms, DSPs, Meta, Google, DV360, data partners, and other activation channels.
  • Provide technical support during onboarding and implementation, ensuring a smooth handoff from sales to customer success.
  • Act as the internal voice of the customer by feeding product gaps, market requirements, and integration needs back to Product and Engineering.
  • Support RFPs, security reviews, technical questionnaires, and solution documentation.
  • Help create enablement materials, technical diagrams, demo flows, and best-practice implementation guides.
Qualifications
  • 5–10 years of experience in sales engineering, solutions consulting, solutions architecture, implementation consulting, or a similar technical pre-sales role.
  • Experience in adtech, martech, media, identity resolution, data platforms, CDPs, DSPs, CRM, audience activation, analytics, or SaaS is strongly preferred.
  • Strong understanding of data flows, APIs, pixels, tags, event tracking, CRM data, audience segmentation, and platform integrations.
  • Familiarity with platforms such as Google, Meta, DV360, The Trade Desk, StackAdapt, LiveRamp, Salesforce, HubSpot, CDPs, or similar technologies is a plus.
  • Ability to explain technical concepts clearly to both technical and non-technical stakeholders.
  • Strong commercial awareness with the ability to connect technical capability to business outcomes and revenue impact.
  • Experience supporting demos, POCs, pilots, onboarding, and customer implementations.
  • Comfortable working cross-functionally with Sales, Customer Success, Product, Engineering, and Leadership.
  • Excellent communication, presentation, documentation, and problem-solving skills.
  • Self-starter who can operate in a fast-moving, high-growth environment.
  • Ability to travel up to 10%
Ideal Background
The ideal candidate has worked in or around digital media, audience data, identity, activation, attribution, CRM enrichment, or marketing technology. They understand how brands, agencies, publishers, resellers, and media companies use data to identify audiences, improve targeting, activate campaigns, and measure performance.