Engineer, Magnite

Big Data Engineering

$115-135k

+ Equity and Employee Stock Purchase Plan

SQL

Python

Scala

Java

Kafka

Linux

Jenkins

Hadoop

Spark

Perl

JIRA

Unix

Junior, Mid and Senior level

Boston

Los Angeles

New York

In-office T/W/TH

3 days a week in office

Sell-side omnichannel advertisement platform

Be an early applicant

Sell-side omnichannel advertisement platform

501-1000 employees

B2BMarketingDigital MediaSaaSAdvertising

Be an early applicant

$115-135k

+ Equity and Employee Stock Purchase Plan

SQL

Python

Scala

Java

Kafka

Linux

Jenkins

Hadoop

Spark

Perl

JIRA

Unix

Junior, Mid and Senior level

Boston

Los Angeles

New York

In-office T/W/TH

3 days a week in office

501-1000 employees

B2BMarketingDigital MediaSaaSAdvertising

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.

Job

Company

Role

Who you are

Ideal candidates must be excited about all aspects of big data development including data transport, data processing, data warehouse/ETL integration, quick learning, and self-starting
We are seeking a candidate with good skills in software development life cycle, building data services with Java, Scala, script languages like Python etc
Proficiency and hands-on experience with data engineering related technologies: Hadoop /Spark / Kafka / Druid etc. Java and script languages (UNIX Shell, Perl, Python etc.)
Familiar with process, infra, and application management technologies – JIRA, Jenkins, Github, etc
Ability to follow standard development and engineering practices and understand basic to complex concepts related to computer architecture, data structures, and programming practices
Experience developing and executing testing/debugging, data quality, and performance tuning applications
Ability to communicate effectively to end users and work within a team environment
Bachelor’s degree in CS/EE or related science

Desirable

Experience working with the ad-tech industry
Experience working on Massively Parallel Processing architecture
Experience on MapR Hadoop
Experience with SQL in association with data transformation, custom reporting & analysis, and data investigation desired

What the job involves

We are looking for a Data- or Software-Engineer with both conceptual and hands-on experience working on big data development. This is a fully integrated environment that includes upstream data ingestion processes, proprietary and Open Source DBMS as well as large scale (full cycle multi-billion rows) data warehouse environment
As a member of our data engineering team you will be a part of a service group responsible for continuing organizational expansion of our data platform.
This is a demanding role that will require hands-on experience with big data processing development on Linux. You will be responsible for the day to day operation and new developments.
We are responsible for technological and operational excellence across our domain
Design, develop and support various big data platforms applications including Hadoop, Kafka, ETL, and data warehouse applications integration
The main responsibility is to develop applications with Java and Spark programming languages and Big Data technology; including scripting languages (Python, shell etc.) to support application execution
Involved in the design and implementation of full cycle of data services, from data transportation, data processing, ETL to data delivery for reporting
Strong data analysis and troubleshooting to support day-to-day production operations
Ability to proactively identify, troubleshoot and resolve production data and performance issues

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

Glassdoor (3.6)

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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