Engineer II (Big Data Engineering)

Position Overview

Engineer II (Big Data Engineering) at Magnite – the world’s largest independent sell‐side advertising platform – offers you the opportunity to work on high‐performance big data solutions powering billions of transactions per day. As a member of the DV+ Data Engineering team, you will design, develop and support innovative big data platforms that process hundreds of billions of events, ensuring accuracy and speed. You will tackle real-world challenges by developing end-to-end data services and troubleshooting production operations. Compensation: In California, the base salary range is $125,000 - $135,000 plus an annual variable bonus and company equity; in Colorado, it is $115,000 - $125,000 plus similar variable benefits.

Key Responsibilities

• Design, develop and support diverse big data platform applications including Hadoop, Kafka, ETL, and data warehouse integration.
• Develop applications using Java, Spark, and scripting languages (Python, Shell) to support execution.
• Implement full-cycle data services from data ingestion and processing to ETL and reporting.
• Conduct data analysis and troubleshooting to support day-to-day production operations.
• Proactively identify and resolve production data and performance issues.

Required Qualifications

• Proficiency in data engineering technologies such as Hadoop, Spark, Kafka, and Druid.
• Experience with Java and scripting languages (e.g., UNIX Shell, Perl, Python).
• Familiarity with process, infrastructure, and application management tools (JIRA, Jenkins, GitHub).
• Understanding of standard development practices, computer architecture, data structures, and programming principles.
• Experience in testing, debugging, data quality assurance, and performance tuning.
• Strong communication skills and the ability to work collaboratively within a team.
• Bachelor’s degree in Computer Science, Electrical Engineering or a related field.

Preferred Qualifications

• Experience working in the ad-tech industry.
• Exposure to Massively Parallel Processing architectures.
• Experience with MapR Hadoop.
• Familiarity with SQL for data transformation, custom reporting, and analysis.

Benefits & Perks

• Comprehensive Healthcare Coverage from Day One.
• Generous Time Off, Holiday Breaks, and Quarterly Wellness Days.
• Equity and Employee Stock Purchase Plan.
• Family-Focused Benefits and Parental Leave.
• 401k Retirement Savings Plan with Employer Match.
• Disability and Life Insurance.
• Cell Phone Subsidy.
• Fitness and Wellness Reimbursement.