

Intelliswift Software
Senior Data Engineer (Marketing Science, Ads)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (Marketing Science, Ads) with a 9-month contract, remote location, and a pay rate of "TBD." Key skills include Python, SQL, and experience with large datasets, preferably in marketing and CRM contexts.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
760
-
ποΈ - Date
February 11, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Python #SQL (Structured Query Language) #Data Pipeline #Computer Science #Scala #"ETL (Extract #Transform #Load)" #CRM (Customer Relationship Management) #Datasets #Data Engineering
Role description
Job Title: Data Engineer IV
Locations: Remote
Duration: 09 Months to start
Our clients Marketing Science Team is looking for Sr. Data Engineer, The team is focused on transforming validated solutions into actionable insights, promoting them across marketing and sales channels, and unlocking advanced feedback mechanisms to better understand and serve customers.
Must-Have Skills
Ability to build data pipelines and infrastructure from existing data sources
Experience creatively finding ways to structure data so it runs faster and smoother
Strong soft skills: partnerships and ability to act quickly on feedback
Proficiency in Python and SQL (Python preferred).
Nice-to-have Skills
Experience working with large volumes of data
Familiarity with customer lifecycle management and CRM data
Marketing expertise, especially with data tables used to power marketing campaigns
Responsibilities
β Serve as the data expert for marketing science initiatives.
β Develop and optimize real-time data pipelines from existing data sources.
β Structure and organize large datasets for fast, smooth operations.
β Build and maintain data tables supporting multiple marketing signals across millions of advertisers.
β Collaborate with team members and act quickly on feedback.
Requirements
β Proven experience building data pipelines and infrastructure.
β Strong skills in Python (preferred) and SQL.
β Ability to creatively structure data for performance and scalability.
β Experience working with large volumes of data (millions of rows).
β Bachelorβs degree in Computer Science, Data Analytics, or related field.
β Strong collaboration and communication skills.
β Experience with customer lifecycle management, CRM data, or marketing data tables is a plus.
β Comfortable working in fast-paced environments with large datasets
Job Title: Data Engineer IV
Locations: Remote
Duration: 09 Months to start
Our clients Marketing Science Team is looking for Sr. Data Engineer, The team is focused on transforming validated solutions into actionable insights, promoting them across marketing and sales channels, and unlocking advanced feedback mechanisms to better understand and serve customers.
Must-Have Skills
Ability to build data pipelines and infrastructure from existing data sources
Experience creatively finding ways to structure data so it runs faster and smoother
Strong soft skills: partnerships and ability to act quickly on feedback
Proficiency in Python and SQL (Python preferred).
Nice-to-have Skills
Experience working with large volumes of data
Familiarity with customer lifecycle management and CRM data
Marketing expertise, especially with data tables used to power marketing campaigns
Responsibilities
β Serve as the data expert for marketing science initiatives.
β Develop and optimize real-time data pipelines from existing data sources.
β Structure and organize large datasets for fast, smooth operations.
β Build and maintain data tables supporting multiple marketing signals across millions of advertisers.
β Collaborate with team members and act quickly on feedback.
Requirements
β Proven experience building data pipelines and infrastructure.
β Strong skills in Python (preferred) and SQL.
β Ability to creatively structure data for performance and scalability.
β Experience working with large volumes of data (millions of rows).
β Bachelorβs degree in Computer Science, Data Analytics, or related field.
β Strong collaboration and communication skills.
β Experience with customer lifecycle management, CRM data, or marketing data tables is a plus.
β Comfortable working in fast-paced environments with large datasets






