Qureos Mentor

Magnite

<div><div>Engineer II (Big Data Engineering)</div><div>
New York City, NY</div><div>
Boston, MA</div><div>
Los Angeles, CA</div><div>
Broomfield, CO</div><div>
Hybrid Schedule (M/F remote, T/W/TH in-office)</div><div></div><div>
At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we&rsquo;re looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world&rsquo;s largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!</div><div></div><div>
Are you excited about high-performance Big Data implementation? Then great! Magnite is growing, and we need software developers who are thorough and agile, capable of breaking down and solving problems and have a strong will to get things done. In the DV+ Data Engineering team you will work on real-world problems working on big data stack where accuracy and speed are paramount, take responsibility for your systems end-to-end and influence the direction of our technology that impacts customers around the world.</div><div></div><div>
About this team:</div><div>
We own the data systems that process hundreds of billions of events per day for the DV+ platform. As such, 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.</div><div></div><div>
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. 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. 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 seeking a candidate with good skills in software development life cycle, building data services with Java, Scala, script languages like Python etc. We are responsible for technological and operational excellence across our domain.</div><div></div><div>
What you will be doing:</div><ul><li><div>
Design, develop and support various big data platforms applications including Hadoop, Kafka, ETL, and data warehouse applications integration</div></li><li><div>
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.</div></li><li><div>
Involved in the design and implementation of full cycle of data services, from data transportation, data processing, ETL to data delivery for reporting</div></li><li><div>
Strong data analysis and troubleshooting to support day-to-day production operations</div></li><li><div>
Ability to proactively identify, troubleshoot and resolve production data and performance issues</div></li></ul><div></div><div>
What we are looking for:</div><ul><li><div>
Proficiency and hands-on experience with data engineering related technologies: Hadoop /Spark / Kafka / Druid etc. Java and script languages (UNIX Shell, Perl, Python etc.)</div></li><li><div>
Familiar with process, infra, and application management technologies &ndash; JIRA, Jenkins, Github, etc.</div></li><li><div>
Ability to follow standard development and engineering practices and understand basic to complex concepts related to computer architecture, data structures, and programming practices</div></li><li><div>
Experience developing and executing testing/debugging, data quality, and performance tuning applications</div></li><li><div>
Ability to communicate effectively to end users and work within a team environment</div></li><li><div>
Bachelor&rsquo;s degree in CS/EE or related science</div></li></ul><div></div><div>
Nice To Have:</div><ul><li><div>
Experience working with the ad-tech industry</div></li><li><div>
Experience working on Massively Parallel Processing architecture</div></li><li><div>
Experience on MapR Hadoop</div></li><li><div>
Experience with SQL in association with data transformation, custom reporting &amp; analysis, and data investigation desired</div></li></ul><div></div><div>
Perks and Benefits:</div><ul><li><div>
Comprehensive Healthcare Coverage from Day One</div></li><li><div>
Generous Time Off</div></li><li><div>
Holiday Breaks and Quarterly Wellness Days</div></li><li><div>
Equity and Employee Stock Purchase Plan</div></li><li><div>
Family-Focused Benefits and Parental Leave</div></li><li><div>
401k Retirement Savings Plan with Employer Match</div></li><li><div>
Disability and Life Insurance</div></li><li><div>
Cell Phone Subsidy</div></li><li><div>
Fitness and Wellness Reimbursement</div></li></ul><div></div><div>
Company Culture:</div><div>
We believe collaboration is essential to success. Magnite&rsquo;s hybrid schedule includes two days worked remotely (Monday and Friday) and three days on-site (Tuesday, Wednesday and Thursday). Our offices provide catered lunches, beverages, snacks, training and development, and office events to support your work week. We also understand you have appointments, families, hobbies, and other commitments. Magnite strives to maintain a healthy work/life integration for all employees so you can bring your best every day - both at work and at home.</div><ul><li><div>
Community Service and Volunteer Events</div></li><li><div>
Company-Matched Charitable Contributions</div></li><li><div>
Wellness Coach and Mental Health Support</div></li><li><div>
Career Development Initiatives and a Career Growth Framework</div></li><li><div>
Culture and Inclusion Programs</div></li><li><div>
Bonusly Peer-to-Peer Recognition Program</div></li></ul><div></div><div>
About Us</div><div></div><div>
The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.</div><div></div><div>
In California, the base salary range for this position is: $125,000 - $135,000 in addition to an annual variable bonus based on performance and company equity (NASDAQ: MGNI).</div><div></div><div>
In Colorado, the base salary range for this position is: $115,000 - $125,000 in addition to an annual variable bonus based on performance and company equity (NASDAQ: MGNI).</div><div></div><div>
For Los Angeles-based applicants:</div><div>
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</div><div>
The material job duties of this specific job position for which Magnite reasonably believes that a criminal history may have a direct, adverse, and negative relationship include:</div><ul><li><div>
Having access to the Company&rsquo;s Confidential Information or trade secrets including data related to customers, clients, vendors, business partners, or suppliers</div></li><li><div>
Work with cross teams to access datasets, databases, formulas, algorithms, tools, products, prototypes, systems applications, and technologies in any stage of development</div></li></ul><div></div><div><i>
Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class.</i></div><div></div><div><i>
Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite&rsquo;s local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.</i></div><div></div><div>
Want to learn more about us?</div><div>
Check out our <div>blog</div> for Magnite announcements and Ad Tech industry news!</div><div></div><div>
Recruiting Agency Notice</div><div>
Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.</div></div>

Engineer II (Big Data Engineering)

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Engineer II (Big Data Engineering)