Senior Big Data Engineer
Role details
Job location
Tech stack
Job description
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., Magnite's culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform.
Requirements
- 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., * 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 DevOps practices.
Benefits & conditions
Pulled from the full job description
- Employee stock purchase plan
- Parental leave
- Health insurance
- 401(k) matching
- Gym membership
- Life insurance
- Disability insurance, 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 package
During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location.
Perks and Benefits:
- 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
- Monthly Fitness and Reimbursement
Career Growth:
We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs.