Blend

CDP Engineer (Segment)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a CDP Engineer (Segment) with a 6-month contract, offering $65 to $70 per hour, fully remote. Key skills include Segment CDP experience, audience building, data ingestion monitoring, and identity resolution. Experience with enterprise marketing technology is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
March 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Storage #Databricks #Monitoring #"ETL (Extract #Transform #Load)" #Scala #Data Ingestion #Data Pipeline #Strategy #Data Engineering #Consulting #Data Architecture
Role description
Customer Data Platform (CDP) Engineer - Segment Client: Hilton Grand Vacations Employer: Blend Location: Remote Contract Duration: 6 Months Pay Rate: $65 to $70 per hour Overview Blend is hiring a Customer Data Platform Engineer to support a major digital marketing and data initiative for Hilton Grand Vacations. This role focuses on activating customer data through the Segment CDP platform and enabling marketing teams to build targeted audiences and campaigns using accurate, unified customer profiles. The environment recently completed a Segment implementation within a modern enterprise data architecture. The focus is now on execution, platform governance, audience creation, and ensuring marketing teams can use customer data effectively. This is a hands-on engineering role centered on working directly in the Segment platform to build audiences, validate data pipelines, monitor platform health, and support marketing activation. Responsibilities Audience Strategy and Activation • Build and manage customer audiences within Segment based on marketing and campaign requirements • Translate marketing briefs into technical segmentation logic • Maintain scalable audience structures that support ongoing marketing activation • Platform Operations and Monitoring • Monitor CDP data ingestion and validate that incoming data is accurate and complete • Identify ingestion failures, missing events, or unexpected data gaps • Perform platform health checks and ensure audiences reflect correct data inputs • Data Validation and Governance • Establish naming conventions, operational workflows, and quality checks within Segment • Validate that data in Segment aligns with source systems and upstream data pipelines • Maintain governance standards that ensure consistent platform use across teams Identity Resolution and Customer Profiles • Work with unified customer profile concepts and identity stitching logic • Ensure segmentation rules reflect correct customer identity resolution across identifiers • Validate that audience definitions align with the underlying data model • Marketing Enablement • Partner with marketing stakeholders to support campaign activation use cases • Provide guidance on how to build and manage audiences within the CDP • Help improve targeting accuracy and marketing performance through better • segmentation practices • Technical Environment • Segment CDP • Low copy data architecture • Data stored within Databricks • Enterprise marketing technology ecosystem • Qualifications • Hands-on experience working with Segment CDP in production environments • Strong experience building audiences and segmentation logic within a CDP • Experience monitoring CDP data ingestion and identifying data pipeline issues • Understanding of identity resolution and unified customer profile concepts • Experience validating customer data across upstream systems and CDP outputs • Comfortable working in a marketing technology environment with cross-functional teams • Preferred Background • Experience working with enterprise marketing technology stacks • Experience supporting marketing activation through CDP platforms • Experience working with modern data architectures that separate storage from activation platforms • About Blend360 • Blend is a consulting and services company focused on helping organizations use data, analytics, and marketing technology to drive measurable business outcomes. The team works with leading global brands across marketing, data engineering, and digital transformation initiatives.