Innovatix Technology Partners
Marketing Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Marketing Data Engineer, a 12-month remote position requiring 3–5 years of SQL and Python experience, 1–2 years in campaign analytics, and familiarity with Databricks, Snowflake, and Tableau for data visualization and processing.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 23, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Complex Queries #Strategy #Data Manipulation #ML (Machine Learning) #Data Processing #Scala #Visualization #Data Engineering #SQL (Structured Query Language) #Big Data #Tableau #Databricks #Snowflake #A/B Testing #Python #Automation
Role description
Role: Marketing Data Engineer
Duration: 12 Months
Mode of Work: Remote (PST/MST)
Job Description:
Experience Requirements
• SQL & Python (3–5 years): Proven expertise in writing complex queries, optimizing performance, and developing Python scripts for data manipulation, automation, and analysis.
• Campaign Analytics (1–2 years): Experience analyzing campaign performance, building causal inference models, and developing propensity models to predict customer behavior.
• A/B Testing & Experimentation: Understanding of experimental design, test/control setup, and interpreting results to inform marketing strategy. Prior exposure to campaign processes is a strong advantage.
Technical Skills:
• SQL & Python Expertise: Advanced proficiency in campaign list generation, post-campaign analysis, automation, and applying machine learning techniques
• Databricks & Snowflake: Familiarity with Databricks for big data processing and Snowflake for scalable data warehousing.
• Tableau: Experience building dashboards and visualizations to communicate insights effectively to business stakeholders
Role: Marketing Data Engineer
Duration: 12 Months
Mode of Work: Remote (PST/MST)
Job Description:
Experience Requirements
• SQL & Python (3–5 years): Proven expertise in writing complex queries, optimizing performance, and developing Python scripts for data manipulation, automation, and analysis.
• Campaign Analytics (1–2 years): Experience analyzing campaign performance, building causal inference models, and developing propensity models to predict customer behavior.
• A/B Testing & Experimentation: Understanding of experimental design, test/control setup, and interpreting results to inform marketing strategy. Prior exposure to campaign processes is a strong advantage.
Technical Skills:
• SQL & Python Expertise: Advanced proficiency in campaign list generation, post-campaign analysis, automation, and applying machine learning techniques
• Databricks & Snowflake: Familiarity with Databricks for big data processing and Snowflake for scalable data warehousing.
• Tableau: Experience building dashboards and visualizations to communicate insights effectively to business stakeholders
