Data Engineer

EDO is the TV outcomes company that connects TV airings to consumer behaviors predictive of future sales. As a Data Engineer, you will work with Data Scientists to build data pipelines that analyze various datasets to optimize advertising effectiveness.

Responsibilities:

• Build and scale our next-generation Ad EnGage data pipeline
• Measures and optimizes the effectiveness of advertising by combining and analyzing a wide range of datasets
• Work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake
• Contribute to building reliable, high-quality data pipelines
• Improving the performance, scalability, and observability of our data platform

Requirements:

• 3-6 years of experience as a Data Engineer
• Experience building and maintaining ETL/ELT pipelines using tools such as Airflow and dbt
• Strong SQL skills, including query optimization, data modeling, and working with large datasets
• Hands-on experience with large-scale, complex data pipelines operating at billions to trillions of rows of data
• Ability to work independently on well-scoped projects, collaborate with cross-functional partners, and deliver production-ready solutions
• Hands-on experience with cloud data platforms (Snowflake or Redshift preferred)
• Strong understanding of data warehousing concepts and cloud infrastructure (AWS preferred)
• Proficiency in at least one scripting language, preferably Python