Data Engineering Manager

Who We Are

EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression — across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results — with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO’s TV intelligence to know what works.

EDO is headquartered in New York City and Los Angeles.

We recognize the benefits of hybrid working, and want to create the best balance to ensure we can continue working together effectively. For our NY team, we have a hybrid work policy of three days in the office and two remote work days. 

To learn more about the work we do at EDO, please visit EDO Press.

The Role

As a Data Engineering Manager at EDO, you will join a team of talented Data Engineers working closely with Data Scientists to build out our next generation Ad EnGage data pipeline. This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing dozens of sources of advertising occurrence data, advertising outcome data, identity resolution data, and various other types of data. Our clients use these insights to make critical business decisions about their advertising strategy. You will work with large data sets (trillions of rows and hundreds of TB of data) using a modern tech stack centered on AWS, Airflow, DBT, and Snowflake.

What You Will Do

• Hands-on manager of 1-3 direct reports; act as a player/coach; stay close to the details of project work and support your team members, amplifying the impact of their work.
• Solve data engineering challenges that arise from a data pipeline that orchestrates the modeling of ad effectiveness on trillion-event data sets that span millions of households for several years.
• Lead projects cross functionally; collaboratively defining requirements with product management; executing projects with cross functional teams (Data Science, Infrastructure, Front End, etc)

What We Are Looking For

• A minimum of 7 years of software engineering experience, including at least 3 years of data engineering experience. Ideally, at least 2 years of experience leading teams.
• A self-driven individual who eagerly takes ownership of projects in a startup environment
• Excellent communication skills with both technical and non technical audiences
• Strong knowledge of data warehousing platforms (such as Snowflake, Redshift, etc), cloud computing (such as AWS), and ETL/data pipeline technologies (such as Airflow, DBT)
• Strong proficiency with SQL and a scripting language such as Python or Ruby
• A strong understanding of software engineering practices, principles, and fundamentals
• Able to balance engineering considerations with business considerations, deal with ambiguity, and deliver positive outcomes
• Previous industry experience working with TV or other advertising data is a plus

Experience we can help you develop

• People management skills
• Development and test pipelines, continuous integration.
• Development of feature engineering pipelines and DBT.
• Implementing or auditing policy compliance in data pipelines and workflows.

Compensation and Benefits:

EDO offers a competitive compensation package. Components of compensation include:

• Mid-stage equity and competitive salary
• Flexible Time Off
• Medical, dental and vision coverage, deeply discounted by EDO
• 401(k) plan, FSA, HSA
• Commuter Benefits 
• When in an office, employee meals, snacks, and more 

In compliance with New York Pay Transparency Law, the salary range for this position is $150,000-$200,000. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, location, key skills, training, and business considerations.

EDO is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines.