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Senior Big Data Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: 110 Magnite, Inc.US
Full Time position
Listed on 2026-07-30
Job specializations:
  • IT/Tech
    Unix/Linux, SRE/Site Reliability, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 170000 - 180000 USD Yearly USD 170000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: New York

Senior Big Data Engineer, New York, NY – Hybrid (M/F remote, T/W/TH in-office) U.S. Remote

At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we’re looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world’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!

About this team

We are seeking a Senior Big Data Engineer to join our Infrastructure Engineering team. This role is responsible for designing, building, maintaining, and modernizing our enterprise big data platforms that support large-scale data processing and analytics across the organization. The ideal candidate has extensive experience with distributed data platforms such as Kafka, Hadoop/MapR, Aerospike, and Linux-based infrastructure. This individual will work closely with Infrastructure, SRE, Database, and Engineering teams to ensure our platforms are scalable, highly available, secure, and performant.

This is a hands‑on engineering role requiring strong operational experience supporting mission‑critical production environments while driving platform modernization initiatives.

In this role you will
  • Design, deploy, administer, and optimize enterprise Big Data platforms.
  • Manage and support distributed technologies including:
    Apache Kafka, Hadoop / MapR, Aerospike. Build highly available, scalable, and resilient data infrastructure across multiple data centers.
  • Perform capacity planning, performance tuning, troubleshooting, and root cause analysis for production environments.
  • Automate infrastructure deployment, configuration management, and operational workflows using Infrastructure as Code and scripting.
  • Collaborate with Software Engineering, Data Engineering, SRE, and Database teams to support new applications and platform requirements.
  • Implement monitoring, alerting, and observability solutions to ensure platform health and availability.
  • Participate in production support and on‑call rotations for critical infrastructure.
We’re looking for someone with
  • 4+ years of experience supporting large-scale Linux infrastructure.
  • 4+ years of experience administering distributed Big Data platforms.
  • Strong experience with:
    Apache Kafka, Hadoop (MapR, Cloudera, Apache Hadoop, or similar), Aerospike.
  • Strong Linux system administration experience (RHEL, Rocky Linux, CentOS).
  • Experience with relational databases such as:
    PostgreSQL, MySQL.
  • Experience troubleshooting distributed systems in production environments.
  • Strong knowledge of networking fundamentals including DNS, TCP/IP, load balancing, and security.
  • Experience with shell scripting (Bash, Python, or similar).
  • Experience with monitoring platforms such as Grafana, Prometheus, Graphite, or similar.
  • Experience working in highly available, 24x7 production environments.
  • Ability to work independently in a fast‑paced production environment.
  • Passion for automation, operational excellence, and continuous improvement.
Preferred Qualifications
  • Experience with Kubernetes and containerized workloads.
  • Experience with Ceph or other distributed storage platforms.
  • Experience with Infrastructure as Code tools such as Terraform or Spacelift.
  • Experience with configuration management tools such as Puppet or Ansible.
  • Experience with cloud platforms (AWS).
  • Familiarity with CI/CD pipelines and Dev Ops practices.
Our Current Tech Stack
  • Big Data:
    Apache Kafka, Hadoop / MapR, Aerospike, Spark
  • Operating Systems:
    Rocky Linux
  • Databases:
    PostgreSQL, MySQL, ScyllaDB
  • Automation:
    Bash, Python, Terraform, Ansible, Puppet
  • Monitoring:
    Grafana, Prometheus, Graphite
  • Infrastructure:
    Kubernetes, Ceph, Networking (TCP/IP, DNS, Load Balancing)
Compensation

In NY, the base salary range for this role is $170,000 - $180,000. Actual compensation will be determined based on location, experience, skills, and internal equity.

This role is also eligible for:

  • Annual performance-based bonus
  • Equity (NASDAQ: MGNI)
  • Comprehensive benefits
Position Requirements
10+ Years work experience
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