E-Solutions

Customer Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Customer Data Engineer, a 6-month contract position offering "$X/hour". The ideal candidate will have strong data engineering skills, proficiency in SQL and Python, and experience with CDP and Martech platforms. Remote work is available.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
April 29, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Data Pipeline #API (Application Programming Interface) #Data Processing #Requirements Gathering #Storage #Data Engineering #SQL (Structured Query Language) #Data Integration #"ETL (Extract #Transform #Load)" #Data Ingestion #AWS (Amazon Web Services) #Data Storage #Python #Cloud #Automation
Role description
We are seeking a skilled and customer-focused Customer Engineer with a strong background in data engineering and Martech/CDP platforms. This role sits at the intersection of customers, product, and engineeringβ€”owning technical solutioning, data integrations, and customer success for complex data-driven marketing solutions. Key Responsibilities β€’ Act as a Customer Engineer / Product Specialist, partnering with customers to understand business and technical requirements and translate them into effective data solutions. β€’ Lead technical requirements gathering, scoping, and solution design, with a strong emphasis on data engineering and CDP-driven use cases. β€’ Design, build, and maintain ETL processes and data pipelines to support customer data ingestion, transformation, and activation. β€’ Develop and maintain solutions using SQL and Python for data processing, automation, and analytics. β€’ Implement and support API integrations across internal systems and third-party Martech platforms. β€’ Work closely with internal product, engineering, and customer success teams to ensure successful delivery and adoption. β€’ Manage prioritization of customer requests, balancing technical feasibility, timelines, and business impact. β€’ Communicate technical concepts clearly to both technical and non-technical stakeholders. Required Skills & Qualifications β€’ Strong experience in Data Engineering, including hands-on expertise with SQL, ETL workflows, and data pipelines. β€’ Proficiency in Python for data processing and integration use cases. β€’ Experience with API integrations (RESTful APIs, data exchange, authentication). β€’ Working knowledge of AWS infrastructure (e.g., data storage, compute, cloud-based services). β€’ Experience with CDP and Martech ecosystems (customer data platforms, marketing tools, analytics platforms). β€’ Proven ability in technical requirements gathering, solution design, and customer-facing communication. β€’ Strong organizational and prioritization management skills.