Marketing Technology Engineer

Build What Makes Marketing Work Smarter.

At Delta Defense, technology supports a mission much larger than marketing. As a Marketing Technology Engineer
, you’ll help build the systems that connect millions of responsible Americans with training, education, and resources that help them protect what matters most.

You’ll work across customer data, analytics, automation, personalization, experimentation, and attribution—owning the technology that powers meaningful experiences from first touch through long-term member engagement.

If you’re looking for a role where you can influence architecture, solve complex data challenges, and see the impact of your work every day, this is an opportunity to build something bigger than campaigns.

While this is not a traditional software engineering role, it requires working knowledge of Mar Tech concepts such as JSON, data Layer structures, event schemas, Regex, Liquid or similar templating logic, HTML/CSS, SQL, lightweight JavaScript, APIs, webhooks, and structured customer data.

• Configure, maintain, and support marketing technology platforms, including marketing automation, CDPs, analytics tools, tag management systems, CMS tools, CRM-connected workflows, testing tools, and affiliate or partner tracking platforms.
• Implement, validate, and troubleshoot digital tracking across websites, landing pages, campaigns, lead funnels, customer lifecycle touchpoints, affiliate journeys, and sales handoffs.
• Support event schemas, data Layer usage, pixels, SDKs, URL parameters, UTM standards, campaign attribution, affiliate tracking parameters, and analytics reporting requirements.
• Translate business needs into technical requirements, including tracking plans, audience logic, platform configurations, integration requirements, QA plans, and reporting specifications.
• Validate and troubleshoot JSON payloads, event properties, user traits, lead attributes, webhook data, API responses, destination mappings, and data type issues that impact reporting, activation, personalization, or downstream systems.
• Build and support audience segments, lifecycle workflows, campaign triggers, personalization rules, suppression logic, lead nurture flows, and data activation workflows across marketing and sales systems.
• Use practical Mar Tech technical skills — including Regex, Liquid or similar templating logic, HTML/CSS, light SQL, lightweight JavaScript, and browser developer tools — to support QA, troubleshooting, personalization, campaign rendering, data validation, and platform configuration.
• Partner with Marketing, Sales, Analytics, Data, Engineering, Product, B2B, affiliate/channel stakeholders, vendors, and IT teams to support lead capture, routing, attribution, customer data activation, and campaign measurement.
• Create and execute QA plans for tags, events, audiences, campaigns, personalization, links, integrations, consent behavior, attribution parameters, affiliate tracking, lead routing, and reporting outputs.
• Troubleshoot data discrepancies, broken events, missing traits, malformed payloads, incorrect audience membership, failed destinations, personalization issues, campaign errors, affiliate attribution issues, and reporting anomalies.
• Support integrations and data flows between marketing platforms, sales systems, analytics tools, CDPs, CRMs, CMS tools, data warehouses, internal systems, and vendor platforms.
• Maintain clear documentation, including technical requirements, QA checklists, implementation notes, event schemas, data mapping details, troubleshooting guides, and platform support processes.
• Apply company standards for privacy, consent, suppression, unsubscribe behavior, PII handling, vendor access, data governance, and responsible customer/prospect data use.
• Use approved AI tools responsibly to improve speed and quality of documentation, troubleshooting, QA planning, technical drafting, analysis, and stakeholder support while validating outputs against source systems, documentation, data, and business context.
• Identify opportunities to improve data quality, marketing automation, attribution accuracy, platform reliability, campaign execution efficiency,…