Marketing Technology Engineer

Delta Defense LLC•West Bend, WI

8h•$76,000 - $96,000•Remote

About The Position

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 MarTech concepts such as JSON, dataLayer structures, event schemas, Regex, Liquid or similar templating logic, HTML/CSS, SQL, lightweight JavaScript, APIs, webhooks, and structured customer data.

Requirements

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
A high school diploma or equivalent is required.
3+ years of experience in marketing technology, marketing operations technology, analytics implementation, digital marketing systems, data operations, revenue operations, web technology, or a related technical marketing role.
Experience supporting platforms such as Braze, Segment, Google Tag Manager, GA4, Salesforce, CMS tools, A/B testing tools, analytics platforms, affiliate platforms, or similar systems.
Experience implementing or maintaining tags, pixels, event schemas, dataLayer events, URL/UTM parameters, campaign attribution, lead source attribution, or analytics instrumentation.
Working knowledge of JSON, event payloads, user traits, lead attributes, API responses, webhooks, destination mappings, Regex, Liquid or similar templating logic, HTML/CSS, light SQL, lightweight JavaScript, and browser developer tools.
Familiarity with common tracked-event and customer data types, including strings, integers, booleans, arrays, objects, datetimes, and null values.
Ability to troubleshoot tracking, campaign, audience, integration, lead routing, attribution, and reporting issues across multiple systems.
Ability to translate business requirements into technical specifications, QA plans, tracking requirements, platform configurations, audience logic, and reporting requirements.
General understanding of digital marketing, lifecycle marketing, B2B marketing, affiliate marketing, lead generation, attribution, customer engagement, sales enablement, privacy, consent, PII handling, unsubscribe/suppression behavior, vendor access, and responsible customer/prospect data usage.
Strong analytical, problem-solving, documentation, communication, and stakeholder-management skills, including the ability to explain technical concepts to non-technical audiences.
Ability to work independently and collaboratively in a fast-paced environment with shifting priorities.
Demonstrates the Core Values of Delta Defense, LLC.

Nice To Haves

Bachelor’s degree in information systems, marketing technology, analytics, web development, business, computer science, or related field preferred; equivalent experience or certifications may be considered.

Responsibilities

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, dataLayer 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 MarTech 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, and Marketing Technology team processes.