MarTech Engineer – Staff Augmentation Consultant
S
StatusNeoMarketing technology
United StatesContract
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLTableauHubSpot
Requirements
- Strong hands-on experience with enterprise MarTech platforms and ecosystems.
- Deep experience with HubSpot or similar email and marketing automation platforms, including segmentation, workflows, email templates, and landing pages.
- Hands-on CDP experience, preferably Treasure AI, including data ingestion, transformation, segmentation, and activation.
- Strong Python scripting skills for data processing, imports, transformation, validation, and automation.
- Experience with CJA, Amplitude, or similar analytics platforms.
- Experience with Kameleoon or similar personalization and experimentation platforms.
- Hands-on Tableau reporting and dashboard experience.
- Strong understanding of data structures, schemas, customer and event data, segmentation, and end-to-end data flows.
- Working knowledge of SQL, HTML/CSS, SDLC, source control, testing, and release and change management.
- Understanding of APIs and integration patterns for troubleshooting and collaboration; hands-on API development is not required.
- Healthcare or other regulated-industry experience is preferred.
Responsibilities
- Configure CDP data sources, destinations, schemas, transformations, audience segments, and activation workflows.
- Develop Python scripts for data imports, transformation, validation, and automation.
- Configure HubSpot segments, workflows, campaigns, personalization, and email journeys.
- Build and maintain email templates, modules, and landing page templates in HubSpot.
- Support implementation, configuration, instrumentation, and troubleshooting for digital analytics platforms.
- Configure audiences, targeting rules, experiments, and personalization experiences.
- Develop and maintain Tableau dashboards and reports, validating data and troubleshooting discrepancies.
- Troubleshoot end-to-end data flows across MarTech platforms and document architecture, configurations, and procedures.
- Apply SDLC practices across requirements, development, testing, deployment, change management, and production support.
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