Data Engineer ( Marketing)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Marketing Analytics) with a 6-month contract, offering a pay rate of "$X/hour." Candidates must have 5+ years in data warehousing, proficiency in Python and Spark, and a degree in a relevant field.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
May 10, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
San Francisco Bay Area
🧠 - Skills detailed
#Data Engineering #Presto #Statistics #Airflow #Batch #Tableau #Scala #Data Pipeline #Data Science #Looker #Python #Spark (Apache Spark) #Data Processing #Computer Science
Role description
Job Title: Data Engineer ( Marketing Analytics )
Must-Have Skills:
• 5+ years in data warehousing, batch data processing, and dashboard development
• Proficient with Python, Spark, Presto, Airflow, Tableau, Looker, and Unidash
• Experience with scalable data pipelines for analytics
Responsibilities:
• Develop data pipelines, dashboards, and analytics solutions
• Translate data science needs into analytical solutions
• Define ambiguous marketing metrics and visualize them clearly
• Present campaign performance insights to marketing stakeholders
Nice-to-Have Skills:
• Experience in marketing tech or analytics
• Familiarity with experiment design and marketing metrics
• Background in data science or software engineering
Qualifications:
• Degree in Computer Science, Data Science, or Statistics
Job Title: Data Engineer ( Marketing Analytics )
Must-Have Skills:
• 5+ years in data warehousing, batch data processing, and dashboard development
• Proficient with Python, Spark, Presto, Airflow, Tableau, Looker, and Unidash
• Experience with scalable data pipelines for analytics
Responsibilities:
• Develop data pipelines, dashboards, and analytics solutions
• Translate data science needs into analytical solutions
• Define ambiguous marketing metrics and visualize them clearly
• Present campaign performance insights to marketing stakeholders
Nice-to-Have Skills:
• Experience in marketing tech or analytics
• Familiarity with experiment design and marketing metrics
• Background in data science or software engineering
Qualifications:
• Degree in Computer Science, Data Science, or Statistics
