Implementation Engineer, Analytics & Tag Management

CourtAvenue•Los Angeles, CA
•Remote

About The Position

The Implementation Engineer implements web and app measurement, tagging, and data collection across GTX client engagements. Working directly with clients and CDP and marketing automation specialists, this engineer ensures behavioral data flows accurately into analytics and customer data platforms to support customer experiences and activation. The role supports multiple client engagements across industries and technology platforms and requires close coordination with client marketing, technology, and data teams. Occasional travel or on-site presence may be required. GTX Solutions is a remote-first firm with team members across the United States.

Requirements

  • At least 4 years of hands-on experience in analytics implementation, tag management, data collection, or related MarTech engineering.
  • Strong JavaScript skills, including writing and debugging custom tracking code, extensions, and data layer logic.
  • Hands-on implementation and troubleshooting expertise in Tealium iQ, Google Tag Manager, Adobe Launch, or a comparable tag management system.
  • Experience implementing GA4 or Adobe Analytics, including event configuration, data validation, and troubleshooting discrepancies.
  • Practical CDP knowledge and experience implementing or validating collection into Tealium, Segment, Adobe Experience Platform, Salesforce Data 360, or a comparable enterprise CDP, including identifiers, consent, profiles, identity resolution, audiences, and activation.
  • Experience with server-side or event-stream collection and enforcing consent choices within tagging and data flows.
  • Working knowledge of SQL and experience with REST APIs, authentication, webhooks, and JSON payloads, using tools such as Postman.
  • Experience working directly with client technical and business stakeholders, with clear documentation and communication skills.

Nice To Haves

  • Deeper CDP configuration experience, including identity rules, profile enrichment, audiences, and activation connectors.
  • Hands-on configuration of engagement platforms such as Salesforce Marketing Cloud, Braze, Adobe Journey Optimizer, or Emarsys.
  • Experience across multiple tag management and analytics platforms, and relevant Tealium, Google, or Adobe certifications.
  • Experience implementing mobile SDKs for analytics and data collection.
  • Python for automation and deeper experience with Snowflake or BigQuery.
  • Background in MarTech consulting or agency delivery, and automotive, OEM, or dealer-network experience.

Responsibilities

  • Design and document measurement plans, event specifications, and data layers for client websites and applications.
  • Implement and maintain tags, JavaScript extensions, triggers, load rules, and data mappings in Tealium iQ, Google Tag Manager, and similar platforms.
  • Configure and troubleshoot GA4 and Adobe Analytics implementations, including events, parameters, conversions, and reporting accuracy.
  • Implement server-side and event-stream collection using tools such as Tealium EventStream, server-side Google Tag Manager, and conversion APIs.
  • Validate event collection into enterprise CDPs, including identifiers, event attributes, and consent signals that support profiles, audiences, and activation.
  • Integrate consent management with tagging and collection, and verify that consent choices control data flows appropriately.
  • Debug missing, duplicate, or inconsistent events using browser developer tools, network inspection, tag debuggers, and Charles Proxy.
  • Build and test REST API and webhook integrations; use SQL to reconcile collected events with downstream data.
  • Work directly with client marketing, analytics, and engineering teams to clarify requirements, explain issues, and guide implementation.
  • Partner with CDP and marketing automation engineers to validate the complete flow from behavioral events through audience qualification and activation.
  • Document configurations, mappings, QA results, and deployments; build reusable scripts and validation patterns.
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