EDO Logo

EDO

Data Engineering Manager

Reposted Yesterday
Easy Apply
In-Office
2 Locations
150K-200K Annually
Senior level
Easy Apply
In-Office
2 Locations
150K-200K Annually
Senior level
The Data Engineering Manager will lead a team to build a data pipeline for analyzing advertising effectiveness, managing large datasets and collaborating cross-functionally with teams.
The summary above was generated by AI
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 has offices in New York City, San Francisco, and Los Angeles.

We recognize the benefits of hybrid working and want to create the best balance. For this role, we have a strong preference for 2-3 days a week in our SF or NY office.

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 automatically measures and optimizes advertising effectiveness for thousands of advertisers across all major streaming platforms and TV networks. It accomplishes this by processing dozens of sources of advertising occurrence data, outcome & engagement data, identity resolution data, and various other datasets. 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 a team of ~5; act as a player/coach; stay close to the details of project work while supporting your team members as full owners, amplifying the impact of their work
  • Lead cross-functional development of complex new features and capabilities, coordinating across the Data Science, Infrastructure, Front End, and Data Quality teams
  • Solve data engineering challenges that arise from the intersection of multi-trillion-row datasets, demanding product requirements, and need for automation and scalability
What We Are Looking For
  • A minimum of 6 years of software engineering experience, including at least 3+ years of data engineering experience and at least 2+ years of experience leading teams
  • A self-driven individual who eagerly takes ownerships of projects in a startup environment
  • Excellent communication skills with both technical and non-technical audiences
  • The ability to efficiently deliver good outcomes in open-ended situations with difficult engineering and business tradeoffs
  • Strong knowledge of data warehouses, cloud computing, and ETL/data pipeline technologies
  • Strong proficiency with SQL and a scripting language such as Python or Ruby
  • Previous industry experience working with TV or other advertising data is a plus
In this role, you will have the opportunity to:
  • Become an expert in reliably shipping complex, cross-functional features in a fast-paced environment
  • Gain hands-on experience in designing and optimizing large-scale data systems that are critical to our business
  • Develop your people management and mentorship skills, helping a team of engineers reach their full potential
Compensation and Benefits

EDO offers a competitive compensation package, including:

  • Mid-stage equity and competitive salary, plus bonus eligibility 
  • A generous Flexible Time Off policy
  • 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
  • Meals and snacks when in-office 

In compliance with New York Pay Transparency Law, the salary range for this position is $200,000-$230,000 plus equity. 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.

Top Skills

Airflow
AWS
Dbt
Python
Ruby
Snowflake
SQL

EDO New York, New York, USA Office

441 Broadway, New York, NY, United States, 10013

Similar Jobs

4 Days Ago
Hybrid
New York, NY, USA
Mid level
Mid level
eCommerce • Food • Pet • Manufacturing
The Manager of Data Engineering and Analytics will lead data modeling initiatives, drive BI development, and foster cross-functional collaboration. This role involves oversight of data pipelines, team leadership, and continuous monitoring and documentation of the data ecosystem.
Top Skills: AirflowDbtFivetranGoogle BigqueryOmniPythonSQL
21 Days Ago
Easy Apply
In-Office
2 Locations
Easy Apply
193K-260K Annually
Senior level
193K-260K Annually
Senior level
Beauty • Enterprise Web • Fintech • Payments • Software
As an Engineering Manager, you'll lead a data engineering team focusing on building and optimizing data models and pipelines, mentoring engineers, and driving data solutions for analytics and products.
Top Skills: ClickhousePythonScalaSnowflakeSQL
2 Days Ago
In-Office
4 Locations
165K-270K Annually
Senior level
165K-270K Annually
Senior level
Fintech
Oversee platform engineering and support design, development, and implementation of infrastructure automation and DevOps practices. Lead a team, manage projects, enhance Agile processes, and ensure best practices in technology delivery are followed.
Top Skills: Application DevelopmentAWSCloud TechnologiesContinuous DeliveryDevOpsOpen Source FrameworksVMware

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account