Vertisystem
Marketing Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Marketing Data Engineer with a contract length of "N/A" and a pay rate of "N/A," located remotely. Key skills include Python, SQL, and experience with large datasets. A Bachelor’s degree in a related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
720
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🗓️ - Date
February 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Python #SQL (Structured Query Language) #Data Pipeline #Computer Science #Scala #CRM (Customer Relationship Management) #Datasets #Data Engineering
Role description
Note: Only for W2 Candidate:
Responsibilities
Develop and optimize real-time data pipelines from existing data sources.
Structure and organize large datasets for fast, smooth operations.
Build and maintain data tables supporting multiple marketing signals across millions of advertisers.
Collaborate with team members and act quickly on feedback.
Serve as the data expert for marketing science initiatives.
Requirements
Proven experience building data pipelines and infrastructure.
Strong skills in Python (preferred) and SQL.
Ability to creatively structure data for performance and scalability.
Experience working with large volumes of data (millions of rows).
Bachelor’s degree in Computer Science, Data Analytics, or related field.
Strong collaboration and communication skills.
Experience with customer lifecycle management, CRM data, or marketing data tables is a plus.
Comfortable working in fast-paced environments with large datasets.
Note: Only for W2 Candidate:
Responsibilities
Develop and optimize real-time data pipelines from existing data sources.
Structure and organize large datasets for fast, smooth operations.
Build and maintain data tables supporting multiple marketing signals across millions of advertisers.
Collaborate with team members and act quickly on feedback.
Serve as the data expert for marketing science initiatives.
Requirements
Proven experience building data pipelines and infrastructure.
Strong skills in Python (preferred) and SQL.
Ability to creatively structure data for performance and scalability.
Experience working with large volumes of data (millions of rows).
Bachelor’s degree in Computer Science, Data Analytics, or related field.
Strong collaboration and communication skills.
Experience with customer lifecycle management, CRM data, or marketing data tables is a plus.
Comfortable working in fast-paced environments with large datasets.
