Data Engineer

EDO • Los Angeles, CA

16d • $120,000 - $160,000 • Hybrid

About The Position

As a Data Engineer at EDO, you will join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline. This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing a wide range of datasets, including advertising occurrence data, outcome data, identity resolution data, and more. Our clients rely on these insights to make critical decisions about their advertising strategy. You will work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake. You’ll contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform.

Requirements

• 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.

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.
• 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.
• Improve the performance, scalability, and observability of our data platform.
• Deliver production-ready solutions.

Benefits

• Mid-stage equity and competitive salary
• Flexible Time Off
• Medical, dental and vision coverage
• 401(k) plan
• FSA
• HSA
• Commuter Benefits
• Employee meals, snacks, and more (when in an office)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed