Quantum World Technologies Inc.

Martech Consultant

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Martech Consultant in Charlotte, NC, with a contract length of "unknown" and a pay rate of "unknown." Requires 5+ years in software engineering, proficiency in Ruby on Rails and Go, and experience with APIs and cloud infrastructure (Azure preferred).
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
January 13, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Azure #GitHub #TypeScript #SQL (Structured Query Language) #Deployment #GCP (Google Cloud Platform) #Code Reviews #Cloud #SQL Server #GraphQL #Logging #AWS (Amazon Web Services) #Quality Assurance #PostgreSQL #Data Pipeline #React #Scala #JavaScript #Docker #DevOps #Data Quality #Automation #Databases #Ruby #Observability #"ETL (Extract #Transform #Load)" #Ruby on Rails
Role description
Job Title: Senior Software Engineer (MarTech) Location: Charlotte, NC The Senior Software Engineer (MarTech) will support integrations between internal lead management systems, data pipelines, and third-party marketing platforms spanning paid media, lifecycle marketing, and call tracking to strengthen and expand Renuity’s marketing technology ecosystem. This individual will join a small collaborative team, working across our entire MarTech stack β€” including Ruby on Rails and Go-based backend services, modern web applications built with Next.js and TypeScript, and cloud infrastructure in Azure. What You'll Do β€’ Design, build, and maintain full stack applications and integrations across our marketing technology ecosystem β€’ Develop and extend backend services written in Ruby on Rails and Go that support lead management, tracking, and data synchronization workflows β€’ Contribute to modern front-end applications (Next.js, React, TypeScript) that enhance marketing and analytics user experiences β€’ Integrate internal systems with third-party marketing platforms through APIs, webhooks, and data pipelines β€’ Implement and maintain robust data flows between paid media, lifecycle marketing, call tracking, and analytics platforms β€’ Collaborate closely with analytics engineers and marketers to ensure accurate tracking, attribution, and data quality across all digital channels β€’ Write clean, maintainable, and testable code with a focus on reliability and scalability in production environments β€’ Monitor, debug, and optimize application performance using modern observability tools and logging frameworks β€’ Participate in code reviews, knowledge sharing, and architectural discussions within a small, fast-moving team β€’ Contribute to automation and DevOps practices, including CI/CD pipelines, containerized deployments, and cloud configuration in Azure β€’ Translate marketing and business requirements into technical solutions that improve lead quality, conversion tracking, and operational efficiency What You'll Bring β€’ 5+ years of professional experience as a full stack or backend software engineer, ideally within a data-rich or marketing-driven environment β€’ Strong proficiency in at least two of the following: Ruby on Rails, Go, TypeScript/JavaScript, or modern React frameworks (Next.js preferred) β€’ Proven experience integrating APIs, building ETL workflows, or working with event-driven systems that connect multiple platform β€’ Solid understanding of relational databases (PostgreSQL, SQL Server, or similar) and ORM frameworks β€’ Familiarity with containerized development and deployment (Docker, GitHub Actions, or equivalent CI/CD systems) β€’ Working knowledge of cloud infrastructure (Azure preferred, but AWS or GCP experience acceptable) β€’ Experience designing, testing, and maintaining RESTful or GraphQL APIs for both internal and external use β€’ Strong understanding of digital marketing concepts such as attribution, campaign tracking, lifecycle automation, and data quality assurance β€’ Comfortable working with analytics engineers and marketing teams to interpret data and validate end-to-end performance tracking β€’ Demonstrated ability to debug complex data flows and ensure system reliability across asynchronous processes β€’ Curious, pragmatic, and collaborative β€” able to balance short-term problem solving with long-term architectural improvement.