Data Engineer

📋 Description

• As a Data Engineer at EDO, build and scale the Ad EnGage data pipeline.
• PB-scale datasets on AWS with Airflow, dbt, and Snowflake.
• Collaborate with Data Scientists to generate decision-ready insights.
• Improve reliability, performance, and observability of the data platform.
• Hybrid work policy for NYC, SF, LA: 3 days in-office, 2 remote.

🎯 Requirements

• 3-6 years of experience as a Data Engineer.
• Hands-on experience with Snowflake or Redshift.
• Strong data warehousing concepts and AWS familiarity.
• ETL/ELT pipelines with Airflow and dbt.
• Strong SQL skills, including query optimization.
• Proficiency in Python or another scripting language.
• Experience with pipelines processing billions to trillions of rows.
• Ability to work independently and 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.
• On-site meals and snacks when in office.