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Senior Software Engineer - Data Platform

Senior engineer designing and owning scalable data platform infrastructure, ETL/ELT pipelines, and data products that power analytics and operations at MNTN. Requires 5+ years building distributed data systems with Python/Java/Go, Spark, Airflow, and cloud platforms.

United StatesData EngineeringRemote5+ YOE

About the role

What you'll do

  • Design and build scalable, reliable data platform services and infrastructure that power operations, analytics, and product features across MNTN.
  • Become a go-to expert on the MNTN ad platform and the data systems, pipelines, and processes that inform engineering and operations.
  • Architect and own ETL/ELT systems that transform billions of raw data points daily into high-quality, low-latency data available across databases and data warehouses.
  • Build the frameworks, tooling, and abstractions that let other engineers and teams self-serve data reliably and confidently.
  • Establish and enforce data quality, observability, and SLA standards including the visualization, reporting, and alerting needed to surface performance, data quality, trends, and opportunities.
  • Drive technical design and architecture decisions, weighing tradeoffs around scalability, cost, reliability, and maintainability.
  • Lead incident investigation and resolution for critical data systems, and improve the platform to prevent recurrence.
  • Mentor other engineers, raise the bar on code quality and engineering practices, and influence technical direction beyond your immediate team.

What you'll bring

  • 5+ years of software engineering experience, with a strong focus on data platforms, data infrastructure, or backend systems at scale.
  • Proven ability to design and build distributed, fault-tolerant systems and data pipelines from the ground up.
  • Strong programming skills in Python, Java, or Go, and solid software engineering fundamentals (algorithms, systems design, testing).
  • Deep experience with SQL, data modeling, and working with large, complex datasets.
  • Hands-on experience with data warehouse technologies and designing ETL/ELT architectures.
  • Experience with data processing frameworks such as Spark.
  • Proficiency with modern software tooling and practices: Git, CI/CD pipelines, Linux, and orchestration tools such as Airflow.
  • Experience building and operating systems in a cloud environment such as AWS, Azure, or GCP.
  • A track record of technical leadership driving architectural decisions, mentoring engineers, and partnering across teams.
  • Strong written and verbal communication skills, with the ability to convey complex technical topics to both technical and non-technical audiences.

MNTN Perks

  • 100% remote within the US
  • Flexible vacation policy
  • Annual vacation allowance for travel related expenses
  • Three-day weekend every month of the year
  • Competitive compensation
  • 100% healthcare coverage
  • 401k plan
  • Flexible Spending Account (FSA) for dependent, medical, and dental care
  • Access to coaching, therapy, and professional development

Skills

PythonJavaGoSQLSparkAirflowAWSAzureGCPGitCI/CDLinuxETLELTData Modeling

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