

Convergenz
Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Analytics Engineer with 6–10 years of experience in analytics engineering or MarTech. It offers a 1-year remote contract, with a preferred hybrid location in Chicago. Key skills include CDP management (mParticle preferred), PHP or Node.js, and data pipeline expertise.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
December 17, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#React #Documentation #Data Layers #Databases #Data Pipeline #GCP (Google Cloud Platform) #Leadership #Tealium #Computer Science #NoSQL #Mathematics #Cloud #Docker #Debugging #AWS (Amazon Web Services) #API (Application Programming Interface) #Data Quality #PHP #Kubernetes #Microservices
Role description
Job Title: Analytics Engineer / Digital Engineer (MarTech & Analytics)
Location: Remote (Hybrid in Chicago is preferred)
Duration: 1-year contract minimum
Company Overview:
•
•
•
• is a strategic technology partner for
•
•
• , with a focus on analytics, data pipelines, and CDP management. The team has been supporting
•
•
• for 10+ years, driving thought leadership in MarTech and analytics solutions.
Position Overview:
We are seeking experienced professionals for 2 key roles:
1. Analytics Engineer (MarTech Enabler)
• Collaborates with the development team on analytics tagging and understands the “why” behind implementations.
• Manages CDP platforms including mParticle (preferred), LiveRamp, Segment.io, Tealium, etc.
• Handles analytics data across pipelines (not marketing-focused).
• Provides technical expertise in analytics engineering, data flow, and CDP management.
Key Requirements:
• 6–10 years in analytics engineering, MarTech, or related technical roles
• Strong experience with CDPs and analytics platforms (mParticle preferred)
• Understanding of entire data pipelines and data layers
• Ability to guide implementation and optimize data flows
1. Digital Engineer (Analytics QA / SME Liaison)
• Serves as liaison between business units and analytics tagging teams
• Provides guidance on campaigns, documentation, and development structure
• Acts as an interface role rather than hands-on coding
• Must have excellent communication skills and business acumen
Technical Skills:
• Knowledge of PHP (Laravel) or Node.js
• Basic proficiency in React
• Understanding of analytics engineering principles and QA
Responsibilities (Both Roles):
• Build and maintain backend services and APIs using PHP/Laravel or Node.js
• Develop lightweight frontend interfaces and internal tools using React
• Support ingestion pipelines, microservices, and secure data movement
• Implement event instrumentation, user behavior tracking, and data collection strategies for CDPs
• Define data schemas, identity resolution rules, and event attributes
• Partner with CX, product, and analytics teams for technical execution
• Build and manage paid media audiences via mParticle/Mixpanel integrations
• Deploy and manage applications on AWS or GCP
• Support CI/CD pipelines and cloud-based workflows
• Troubleshoot data quality, SDK, API, and integration issues
• Document architectures, tracking setups, and implementation logic
• Stay updated with MarTech, CDP, and analytics engineering trends
Qualifications:
• 6–10 years of experience in engineering, analytics implementation, or MarTech roles
• Deep understanding of CDPs (mParticle, Mixpanel, Segment.io, Tealium)
• PHP (Laravel) or Node.js experience; basic React proficiency
• Experience with event schemas, SDK implementation, data contracts, tagging, and tracking strategies
• Familiarity with paid media audience activation
• Knowledge of relational/NoSQL databases and cloud platforms (AWS/GCP)
• Exposure to containerization (Docker; Kubernetes is a plus)
• Strong debugging, analytical, and communication skills
• Proven ability to lead technical implementation and collaborate across functions
Education:
• Bachelor’s or master’s in computer science, Engineering, Information Systems, Mathematics, or related discipline
Job Title: Analytics Engineer / Digital Engineer (MarTech & Analytics)
Location: Remote (Hybrid in Chicago is preferred)
Duration: 1-year contract minimum
Company Overview:
•
•
•
• is a strategic technology partner for
•
•
• , with a focus on analytics, data pipelines, and CDP management. The team has been supporting
•
•
• for 10+ years, driving thought leadership in MarTech and analytics solutions.
Position Overview:
We are seeking experienced professionals for 2 key roles:
1. Analytics Engineer (MarTech Enabler)
• Collaborates with the development team on analytics tagging and understands the “why” behind implementations.
• Manages CDP platforms including mParticle (preferred), LiveRamp, Segment.io, Tealium, etc.
• Handles analytics data across pipelines (not marketing-focused).
• Provides technical expertise in analytics engineering, data flow, and CDP management.
Key Requirements:
• 6–10 years in analytics engineering, MarTech, or related technical roles
• Strong experience with CDPs and analytics platforms (mParticle preferred)
• Understanding of entire data pipelines and data layers
• Ability to guide implementation and optimize data flows
1. Digital Engineer (Analytics QA / SME Liaison)
• Serves as liaison between business units and analytics tagging teams
• Provides guidance on campaigns, documentation, and development structure
• Acts as an interface role rather than hands-on coding
• Must have excellent communication skills and business acumen
Technical Skills:
• Knowledge of PHP (Laravel) or Node.js
• Basic proficiency in React
• Understanding of analytics engineering principles and QA
Responsibilities (Both Roles):
• Build and maintain backend services and APIs using PHP/Laravel or Node.js
• Develop lightweight frontend interfaces and internal tools using React
• Support ingestion pipelines, microservices, and secure data movement
• Implement event instrumentation, user behavior tracking, and data collection strategies for CDPs
• Define data schemas, identity resolution rules, and event attributes
• Partner with CX, product, and analytics teams for technical execution
• Build and manage paid media audiences via mParticle/Mixpanel integrations
• Deploy and manage applications on AWS or GCP
• Support CI/CD pipelines and cloud-based workflows
• Troubleshoot data quality, SDK, API, and integration issues
• Document architectures, tracking setups, and implementation logic
• Stay updated with MarTech, CDP, and analytics engineering trends
Qualifications:
• 6–10 years of experience in engineering, analytics implementation, or MarTech roles
• Deep understanding of CDPs (mParticle, Mixpanel, Segment.io, Tealium)
• PHP (Laravel) or Node.js experience; basic React proficiency
• Experience with event schemas, SDK implementation, data contracts, tagging, and tracking strategies
• Familiarity with paid media audience activation
• Knowledge of relational/NoSQL databases and cloud platforms (AWS/GCP)
• Exposure to containerization (Docker; Kubernetes is a plus)
• Strong debugging, analytical, and communication skills
• Proven ability to lead technical implementation and collaborate across functions
Education:
• Bachelor’s or master’s in computer science, Engineering, Information Systems, Mathematics, or related discipline






