Data Engineer

Job Description

Join the Marketing Data Team as a Data Engineer focused on building robust data pipelines and tools that drive business value. You'll work with cutting-edge technologies to transform marketing data into actionable insights. In your day-to-day, you’ll:

• Design, implement, and maintain ETL pipelines from various sources into the organizational data warehouse (DWH)
• Develop and maintain integrations with third-party marketing platforms
• Create internal data tools including APIs and user interfaces to support marketing operations
• Write and maintain internal Python SDKs for data processing and analysis
• Collaborate with Business Analysts to define and implement data models that meet business requirements
• Migrate legacy ETL processes to Airflow for improved reliability and scalability
  
  

• 2-3 years of experience in data engineering
• Strong Python programming skills with experience building data pipelines and integrations
• Good understanding of databases, SQL, and data modeling best practices
• Experience with workflow orchestration tools (Airflow experience is a plus)
• Ability to work quickly and efficiently, even under pressure and with ambiguous requirements
• Team player who is flexible, adaptive, and composed under pressure
• Experience with Google Cloud Platform tools and services – an advantage