

E-Solutions
Customer Data Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
April 29, 2026
π - Duration
Unknown
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ποΈ - Location
Unknown
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
United States
-
π§ - 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 engineeringβowning 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.
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 engineeringβowning 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.






