Data Engineering Manager

Posted 6 hours ago
Main Location
Los Angeles, CA, United States
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As Data Engineering Manager at EDO, you will be responsible for developing a vision for our data pipeline and building and leading the team to deliver against that vision. Our data pipeline combines multiple sources of advertising occurrence data and metadata with our own proprietary engagement data in real time. It computes actionable metrics that fuel our web platform and reporting tools which our clients rely on to make critical business decisions about their advertising strategy.

Responsibilities:

*Develop a vision for our data pipeline and deliver against that vision
*Understand and translate our business needs into data requirements
*Forge strong partnerships with business stakeholders and technical teams
*Identify challenges and develop solutions associated with processing and combining large data sets in real time.
*Manage our current data pipelining needs while transitioning from our original Ruby / Python / Resque / MySQL stack to a new architecture designed by you.
*Code and implement portions of the system yourself as time allows
*Build and grow a data engineering team with strong technical and operational capabilities
*Manage and tech lead our data pipeline team of four engineers
*Establish processes - project management, code management, data quality - to help the team operate efficiently and effectively
*Provide mentorship in areas related to data warehousing, pipeline architecture, and general engineering best practices

Requirements:

*6+ years of relevant data engineering work experience and 3+ hands-on engineering management and project management experience
*Proven track record in successfully building and leading data engineering teams and building and managing complicated data pipelines in production.
*Knowledge pertaining to relational databases (MySQL, Postgres, etc), cloud data services (AWS), and data warehousing tools (Redshift, Snowflake, etc).
*Production experience working with modern ETL data pipeline tools. You will decide and utilize the appropriate tools for our data pipeline. (Spark, Kafka, Airflow, RabbitMQ, Kiba, Luigi, etc.).
*Strong project management skills and the ability to manage multiple concurrent projects
*Proficiency with a scripting language such as Ruby or Python and proficiency with another language such as Scala, Go, C#; as we evolve our pipeline, we would like your views on which language makes the most sense for our needs.
*Consistently made culture choices with an overall positive impact on engineering
*Previous industry experience working with TV or other advertising data is a huge plus

Benefits:

*Competitive salary, commission plan, and early-stage equity
*Medical, dental, & vision insurance
*Employee meals, snacks, movie tickets + concessions, and more


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Data Engineering Manager
EDO, Inc