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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CJA/Web SDK Engineer - **Company:** Blue Acorn, LLC - **Location:** United States - **Salary:** $90,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Experience Manager, Adobe Marketing Cloud, Data Analysis, Continuous Integration, Information Engineering, Data Streaming, Web Analytics, Delivery Pipeline, Software Troubleshooting, Adobe, Real Time Data, Front End Software Development, Software Version Control - **Published:** September 3, 2026 - **Apply:** https://blueacornici.applytojob.com/apply/Pzm0nG0D5f/CJAWeb-SDK-Engineer ## About the Role Platform & Implementation Skills * Hands-on experience implementing Adobe Web SDK * Experience with Adobe Experience Platform data collection and datastream configuration * Experience supporting Customer Journey Analytics datasets and reporting readiness * Strong understanding of digital analytics instrumentation practices Data & Modeling * XDM schema mapping and event modeling * Understanding of identity capture and linkage strategies * Data quality validation and governance awareness * Familiarity with consent and privacy signal handling Engineering Practices * Experience working within collaborative delivery workflows and version control practices * Familiarity with deployment lifecycle management for data collection/tagging environments * Strong troubleshooting and validation skills, * Experience working within Adobe Experience Cloud ecosystems * Exposure to RTCDP or Journey Optimizer integrations * Understanding of event streaming or real-time data ingestion concepts * Experience supporting enterprise-scale analytics implementations ## Description The CJA / Adobe Web SDK Engineer is responsible for designing, implementing, and maintaining data collection and event instrumentation that powers analytics, reporting, and personalization use cases across Adobe Experience Platform. This role focuses on Web SDK deployment, event modeling, data quality, and integration with downstream analytics and activation platforms. You will collaborate closely with frontend engineers, data engineers, analytics teams, and platform architects to ensure reliable, governed, and performant data flows that support Customer Journey Analytics and broader Adobe Experience Cloud initiatives., Web SDK Implementation & Event Instrumentation * Implement and configure Adobe Web SDK for web and digital experience data collection * Design and deploy event instrumentation aligned with business and analytics requirements * Validate event payloads, identity capture, and data collection accuracy * Maintain versioning, documentation, and governance of tracking implementations Data Collection & Experience Event Engineering * Map digital interactions to XDM schemas and field groups * Configure and manage datastreams, tags, and environment promotion workflows * Ensure accurate identity and consent signals are captured and passed downstream * Optimize data capture strategies for performance and maintainability Integration & Platform Enablement * Enable data flows into Adobe Experience Platform and Customer Journey Analytics * Support integrations with RTCDP, AJO, and other downstream consumers * Provide consistent data interfaces supporting reporting, segmentation, and personalization use cases * Collaborate with platform teams to align collection with enterprise data models Data Quality, Governance & Performance * Monitor event data quality, completeness, and schema adherence * Troubleshoot collection gaps, duplication, latency, or identity issues * Implement governance and consent enforcement within collection configurations * Ensure observability and validation practices are embedded in deployment workflows Collaboration & Delivery * Partner with frontend, analytics, and data engineering teams on instrumentation strategy * Participate in architecture discussions and contribute to collection standards * Support CI/CD-style deployment workflows for tags and configuration changes * Produce documentation for tracking plans, mappings, and implementation decisions ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [Agile work at CARIAD – Creating a customer web application for controlling the vehicle ](https://www.wearedevelopers.com/videos/200-agile-work-at-cariad-creating-a-customer-web-application-for-controlling-the-vehicle) - [Scrape, Train, Predict: The Lifecycle of Data for AI Applications](https://www.wearedevelopers.com/videos/1652-scrape-train-predict-the-lifecycle-of-data-for-ai-applications) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)