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Senior Data Engineer, Scala

Senior Data Engineer, Scala

MagniteLos Angeles, CA, US
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Overview

Base pay range : $150,000.00 / yr - $170,000.00 / yr

Locations : New York City, NY; Boston, MA; Los Angeles, CA; Denver, CO; Seattle, WA; San Francisco, CA. Hybrid Schedule (M / F remote, T / W / TH in-office).

Magnite is the world's largest independent sell-side advertising platform. Magnite (NASDAQ : MGNI) hosts data pipelines and platforms that enable publishers to monetize content across all screens and formats. The Core Data Engineering team maintains data pipelines handling large-scale data events and warehousing to support client reporting, internal data science, and business teams. We value collaboration, open discussion, and constructive feedback to solve large-scale data challenges. This role involves technical development across three platform-specific data engineering teams, with exposure to Spark jobs, Java-based real-time processing, and large-scale data warehousing.

Responsibilities

  • Get to work on handling internet-scale data problems
  • Help architect and build systems to process our data volume to empower all consumers
  • Hands-on involvement across the group\'s data pipelines and related systems for data delivery
  • Contribute to a culture of collaboration and mentorship

Typical Challenges

  • Highly-scalable infrastructure to handle peak / off-peak and seasonal traffic patterns
  • Cost optimization to lower infrastructure cost while maintaining performance
  • Technical architecture considerations with various SLAs for data delivery
  • Qualifications

  • 5+ years of software development experience with a BS / MS in Computer Science or equivalent work experience
  • Ownership mindset across the full software development lifecycle, from requirements gathering to production support
  • Ability to engage in critical and creative thinking, present tradeoffs, and solve problems collaboratively
  • Experience designing / building systems that handle large-scale data volumes in a cloud-first setting, or demonstrated technical excellence with a desire to learn in data engineering
  • Current Tech Stack

  • Spark (batch + streaming) data pipelines (Databricks and on-prem), primarily using Scala
  • Streaming event processing with Java
  • Terraform, Docker, Jenkins for CI / CD / infra / deployment
  • Airflow for job orchestration
  • AWS infrastructure (RDS, EC2, S3, Kinesis, ECS)
  • Comprehensive Perks And Benefits

  • Comprehensive healthcare coverage for you and your family from Day One
  • Generous time off, holiday breaks, summer Fridays, and quarterly wellness days
  • Equity and Employee Stock Purchase Plan
  • Family-focused benefits and parental leave
  • 401k retirement plan with employer match
  • Disability and life insurance
  • Cell phone subsidy
  • Fitness and wellness reimbursement
  • Company Culture

  • Community service and volunteer events
  • Company-matched charitable contributions
  • Wellness coaching and mental health support
  • Career development initiatives and growth framework
  • Culture and inclusion programs
  • Bonusly peer-to-peer recognition program
  • About Us

    Magnite helps advertisers access brand-safe, high-quality ad inventory and execute billions of transactions each month. With offices in major cities, Magnite operates globally across North America, EMEA, LATAM, and APAC.

    EEO statement : Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, disability, veteran status, gender identity, sexual orientation, or any other protected class.

    Note : Magnite does not accept agency resumes and is not responsible for fees related to unsolicited resumes.

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