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Martech Data Engineer Jobs in Washington (NOW HIRING)

Yext

Senior Product Manager

Washington, DC

$143K - $189K/yr

... closely with engineering, design, data science, and go-to-market teams to deliver impactful ... in SaaS or martech * Experience with messaging platforms, email marketing, CRM, or customer ...

MyEyeDr.

Sr. IT CRM Developer

Vienna, VA · Hybrid

$140K - $160K/yr

Oversee data schema design, ingestion, and campaign data pipelines; ensure clean and secure ... Martech stack. * Support accessibility, deliverability, and compliance best practices.

MyEyeDr.

Sr. IT CRM Developer

Vienna, VA · On-site

$140K - $160K/yr

Oversee data schema design, ingestion, and campaign data pipelines; ensure clean and secure ... Martech stack. * Support accessibility, deliverability, and compliance best practices.

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Martech Data Engineer information

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.

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 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.

What are popular job titles related to Martech Data Engineer jobs in Washington?

For Martech Data Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Martech Data Engineer jobs in Washington look for?

The top searched job categories for Martech Data Engineer jobs in Washington are:

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Cities in Washington with the most Martech Data Engineer job openings:

Martech Data Engineer jobs near you

Senior Product Manager

Yext

Washington, DC

$143K - $189K/yr

Full-time

Re-posted 2 days ago

Job description

We are looking for a Senior Product Manager to lead the strategy and execution for Yext's 1:1 messaging and email marketing products. This role sits at the intersection of communications, automation, and AI, and will be critical in helping businesses engage their customers with personalized, compliant, and high-performing messaging.

You will own the product roadmap for messaging and email, working closely with engineering, design, data science, and go-to-market teams to deliver impactful features that drive adoption and measurable customer value.

What You'll Do
  • Define and own the product vision, strategy, and roadmap for 1:1 messaging and email marketing
  • Build and launch scalable messaging experiences across channels.
  • Partner with design and engineering to deliver intuitive, high-quality user experiences
  • Develop features that leverage automation and AI to reduce manual effort and improve outcomes
  • Work closely with customers to understand pain points and validate solutions
  • Establish clear success metrics (e.g., engagement rates, conversion, time saved, adoption)
  • Collaborate with go-to-market teams to drive successful launches and adoption
What You Have
  • 4-7+ years of product management experience, ideally in SaaS or martech
  • Experience with messaging platforms, email marketing, CRM, or customer engagement tools
  • Strong understanding of user workflows and building for non-technical users at scale
  • Ability to translate complex problems into simple, elegant solutions
  • Data-driven mindset with experience defining and tracking product metrics
  • Proven ability to work cross-functionally and influence without authority
  • Strong communication skills with both technical and non-technical stakeholders
Bonus Points
  • Experience with automation platforms or workflow builders
  • Familiarity with AI/ML-driven personalization or content generation
  • Background in compliance or regulated communication environments (e.g., financial services, healthcare)
  • Experience building products for distributed teams or franchise models

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