Senior Data Engineer

🕒 April 7

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EDO, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

📱 Media

💰 Private Equity Round on 2022-04

Advertising • Media • Analytics

EDO, Inc. is a company that specializes in providing advertising leaders with predictive and historical behavioral engagement data to evaluate the effectiveness of Convergent TV campaigns across streaming and linear platforms. Their Ad Engage Platform offers features such as TV outcomes measurement, competitive ad intelligence, creative rotation optimization, media monitoring, and audience optimization. EDO provides valuable insights into TV advertising performance, partnering with major companies like Disney, Vizio, and Netflix to enhance ad targeting and performance evaluation. The company offers detailed analytics that help advertisers understand the real-time impact of their TV ads, enabling them to optimize their strategies and maximize engagement.

📋 Description

• Join a team of talented Data Engineers working closely with Data Scientists to build out the next generation Ad EnGage data pipeline. • Measure and optimize 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. • 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. • Deliver insights to clients to make critical business decisions about their advertising strategy.

🎯 Requirements

• A minimum of 5 years of data engineering experience and three years of hands-on experience with cloud data platforms (preferably Snowflake or Redshift). • Good working knowledge of data warehousing platforms (such as Snowflake, Redshift, etc), cloud computing (such as AWS), and ETL/data pipeline technologies (such as Airflow, DBT). • Production experience building and operating complex and scalable data pipelines that optimize on data quality and are resilient to poor quality data sources. • Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns • Strong expertise in SQL, including query optimization/performance tuning, data modeling, schema design, and scalable data architecture. • Proficiency in at least one scripting language, with Python preferred. • Ability to work independently on loosely defined projects—gathering requirements and making architectural decisions that balance engineering constraints with business needs, while driving projects through to completion and production.

🏖️ Benefits

• Mid-stage equity and competitive salary • Flexible Time Off • 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 • When in an office, employee meals, snacks, and more