Data Engineer

Summary

EDO is a leading TV outcomes company that connects TV airings to consumer behaviors predictive of sales. They are seeking a Data Engineer to build and scale their Ad EnGage data pipeline, working with large-scale datasets to optimize advertising effectiveness.

Responsibilities

• Build and scale our next-generation Ad EnGage data pipeline
• Measure and optimize the effectiveness of advertising by combining and analyzing a wide range of datasets
• Contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform

Skills

• 3-6 years of experience as a Data Engineer
• Hands-on experience with cloud data platforms (Snowflake or Redshift preferred)
• Strong understanding of data warehousing concepts and cloud infrastructure (AWS preferred)
• 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
• Proficiency in at least one scripting language, preferably Python
• 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
• Snowflake or Redshift preferred
• AWS preferred
• Preferably Python

Qualifications

Must Haves

• 3-6 years of experience as a Data Engineer
• Hands-on experience with cloud data platforms (Snowflake or Redshift preferred)
• Strong understanding of data warehousing concepts and cloud infrastructure (AWS preferred)
• 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
• Proficiency in at least one scripting language, preferably Python
• 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

Nice to Haves

• Snowflake or Redshift preferred
• AWS preferred
• Preferably Python

Benefits

• Mid-stage equity and competitive salary
• Flexible Time Off
• Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
• 401(k) plan, FSA, HSA
• Commuter Benefits
• When in an office, employee meals, snacks, and more