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MozillaMozillaUnited States

Senior Data Engineer

Senior Data Engineer builds and manages data pipelines, transforms telemetry into reliable datasets, ensures data quality, and evolves the platform on GCP. Requires 4+ years experience, SQL/Python proficiency, strong data modeling, and software engineering fundamentals.

Salary not listed
Remote4+ YOEData Engineering

About the role

Responsibilities

  • Build and manage business data pipelines and transform Firefox telemetry data into structured, high-quality datasets.
  • Partner with data scientists, product, and marketing teams to create models and metrics that drive decisions.
  • Ensure data quality using observability tools, participate in weekly triage rotation to resolve issues.
  • Collaborate with data and platform engineers to evolve the data platform.
  • Maintain data integrity by implementing governance and privacy policies across large-scale data systems.

Requirements

  • 4+ years of professional experience in data engineering.
  • Proficiency in SQL and Python, eagerness to integrate AI into workflows.
  • Experience with data modeling for complex business processes into extensible analytical models.
  • Strong software engineering fundamentals: modular, reusable, performant code.
  • Self-directed execution: own projects end-to-end, manage blockers.
  • Strong communication for distributed teams.

Proficiency in one or more:

  • Recommending/implementing new data collection methods.
  • Using data to answer questions and guide decisions.
  • Cloud distributed systems (GCP), distributed databases, message queues, batch/stream processing.
  • Orchestration, error handling, idempotency for reliable data.

Skills

SQLPythonGCPData ModelingData PipelinesApache AirflowData OrchestrationStream ProcessingBatch ProcessingData ObservabilityData GovernanceTelemetry Processing
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