About the role

Role Overview

As a Data Engineer at EDO, you will build and scale the next-generation Ad EnGage data pipeline. The pipeline measures and optimizes advertising effectiveness by combining and analyzing multiple datasets so clients can make critical advertising strategy decisions.

Responsibilities

Build and scale large-scale data pipelines for TV advertising measurement and optimization.
Work with datasets including advertising occurrence, outcome, identity resolution, and related data sources.
Contribute to reliable, high-quality pipelines.
Improve performance, scalability, and observability of the data platform.
Collaborate closely with Data Scientists and cross-functional partners to deliver production-ready solutions.

Required Qualifications

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

Nice-to-Haves

Not explicitly stated beyond the preferences (Snowflake/Redshift, AWS, Python).

About EDO

EDO is the TV outcomes company, providing a measurement platform that connects convergent TV airings to ad-driven consumer behaviors predictive of future sales. Its intelligence leverages immediate engagement signals, decision science, and AI to deliver investment-grade, syndicated data for advertising effectiveness across linear and streaming. EDO is headquartered in New York City and Los Angeles, with an additional office in San Francisco.