Data Engineer, Magnite
$120-135k
+ Annual performance-based bonus + Equity
More information about location
3 days a week in office
Sell-side omnichannel advertisement platform
Be an early applicant
Sell-side omnichannel advertisement platform
501-1000 employees
Be an early applicant
$120-135k
+ Annual performance-based bonus + Equity
More information about location
3 days a week in office
501-1000 employees
Company mission
Magnite's mission is to help the world’s leading advertisement agencies and brands reach millions of consumers efficiently and safely through its omnichannel sell-side advertisement platform.
Role
Who you are
- More than anything we expect you to love learning and see problems as things to overcome rather than blockers
- You should look at this list and our tech stack and think “wow i want to learn that”, rather than being an expert
- We expect you to have expertise with 1-2 items and familiarity with a couple more. Most candidates will have 2+ years of experience
- Hands-on experience with Apache Spark (mainly PySpark). Ideally, you will have written a variety of pipelines that you have deployed in production
- Strong Python skills, particularly in the context of Databricks and Spark
- Data pipeline design knowledge, from sourcing event data to creating queryable data layers
- Familiarity with event-based data architecture (e.g., Kafka)
- SQL experience for data analysis and transformations
- Hands-on experience with AWS and Terraform for IaaS solutions
- Experience writing Jenkins or Github actions pipelines to run build and integration actions
- GoLang for distributed service development
- Kubernetes experience
What the job involves
- You will join the Innovative Services Group (part of the wider Audience team). Innovative services build solutions across the Audience group (and beyond) that are leveraged by other teams
- Examples include probabilistic services able to handle over 500k requests a second, and optimising how compute is deployed in our data pipelines yielding very high cost savings across the teams
- The wider Audience team is responsible for managing and delivering the first and third-party data that powers all of the platforms that Magnite operates
- We’re a globally distributed team of software and data engineers who build and operate huge scale data pipelines and real-time scaled services to enable Magnite and Magnite’s customers to reach their goals
- This role is focused on the data engineering side of the team’s responsibilities, and this job listing reflects that, but there is an opportunity to get involved more broadly
- Build and optimize data pipelines using Apache Spark and Python, processing billions of events in both streaming and batch modes. We work at TB scale
- Collaborate with senior data engineers to improve Magnite’s Audience data pipelines by identifying and implementing innovative solutions
- Own the operational performance of your builds, ensuring uptime and implementing recovery strategies
- Collaborate with SRE teams to provision infrastructure using Terraform and AWS (future Kubernetes on-premise)
- Proactively identify and help solve impactful problems
- You are part of a team that moves fast, makes incremental improvements towards a vision and solves problems other teams are struggling with
- Note: given the seniority of this position, we don't expect you to be here on day one, but this is what you can expect to grow into
- Our current tech stack:
- Python, Golang, Rust, Java / Spring Boot
- ECS, Fargate, Kubernetes
- Spark, Databricks
- Luigi, Airflow
- Docker
- ALB, HAProxy
- RDS, MariaDB, Postgres
- Redis, Memcache
- Kafka, SNS, SQS
- Terraform, Github Actions, Jenkins
- JavaScript / TypeScript / React
- Linux (both on-premise and AWS)
Our take
Due to the rise in mobile and smart devices in recent years, the way in which advertisement publishers must format their ads is changing. A key example of this is TV, advertisements that present immediate calls to action within a Connected TV user interface, but publishing ads in such a format is currently inaccessible to most publishers.
Magnite provides a sell-side omnichannel advertisement platform for publishers, focused on facilitating the selling of advertising on all formats including CTV, mobile, desktop, and audio. In addition to facilitating the buying and selling of omnichannel ads, the company also provides a real-time ad performance dashboard, data protection and compliance tools, and insights into buying and selling patterns.
Whilst other omnichannel advertisement platforms present significant competition to the company, Magnite stands out by providing an end-to-end marketplace for the buying, selling, management, and analysis of ads. Furthermore, by focussing its efforts on cutting-edge formats such as CTV, the company shows great potential to futureproof itself within the advertisement industry.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
5% employee growth in 12 months
Company
Company benefits
- Equity and Employee Stock Purchase Plan
- Pension and Retirement Savings Plan in Several Countries
- Comprehensive Healthcare Benefits for You and Your Family
- Generous Time Off, Holiday Breaks and Summer Fridays
- Family-Focused Leave Benefits
- Cell Phone Subsidy
- Performance Management, and Investment in Diversity Initiatives
- Bonusly Peer-to-Peer Recognition Program, Turning Recognition into Tangible Perks and Magnite Swag
- Community Service Events
- Wellness Coach—Meditate and Recharge with an Unlimited User Account for You and a Plus One
Company HQ
Westchester, Los Angeles, CA
Leadership
Michael Barrett
(CEO)Experience as CEO of Rubicon Project from 2017 to 2020. President and Founder of Ichabod Farm Ventures LLC since 2012.
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