Senior Staff Data Engineer

Mozilla
United States
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Technical leadership","Mentoring","Cross-functional collaboration","Responsible participation","Grit"]

Build and improve Mozilla’s data platform infrastructure, designing reliable systems that process tens of terabytes per day. Lead technical work across Data Platform Engineering and Data Engineering, evaluating and standardizing modern tooling. Create GCP-based data workflows with services like Dataflow, BigQuery, Pub/Sub, GKE, and Airflow, partner with stakeholders across Data Science and product teams, and mentor engineers while advancing data abstractions for machine learning and active data products.

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FursaFursa
Mozilla
Mozilla
2 days ago

Senior Staff Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and improve Mozilla’s data platform infrastructure, designing reliable systems that process tens of terabytes per day. Lead technical work across Data Platform Engineering and Data Engineering, evaluating and standardizing modern tooling. Create GCP-based data workflows with services like Dataflow, BigQuery, Pub/Sub, GKE, and Airflow, partner with stakeholders across Data Science and product teams, and mentor engineers while advancing data abstractions for machine learning and active data products.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and improve systems that reliably and efficiently process large-scale data to solve business problems.
  • •Evaluate and drive adoption of new data technologies while setting best-practice standards across engineering teams.
  • •Craft and improve GCP-based data workflows using modern components such as Dataflow, BigQuery, Pub/Sub, GKE, and Airflow.
  • •Lead cross-functional projects with stakeholders across Data Science, Product, Legal/Policy, and Engineering.
  • •Mentor teammates and develop engineering best practices across the Data Organization, partnering with Data Science on data abstractions.

Pay and Benefits

Perks:Health InsuranceDentalVisionHome OfficeLearning BudgetWell-being StipendPaid Parental

Key Requirements

  • •10+ years of combined experience across data engineering, data platform engineering, data science, or data analyst roles.
  • •Deep expertise in data engineering and data platform engineering.
  • •Experience building data tooling on GCP (Pub/Sub, BigQuery, Dataflow/Apache Beam) or similar technologies.
  • •Experience with platforms and orchestration tools such as Looker, Fivetran, Kubernetes/GKE, Airflow/Cloud Composer, and Terraform.
  • •Advanced coding skills in SQL and Python with strong software engineering fundamentals (modularity, abstraction, data structures, algorithms).
Experience:Data engineeringData platformData scienceMachine learningCloud data toolingData products
Skills:Technical leadershipMentoringCross-functional collaborationResponsible participationGrit
Languages:English
Tech Stack:GCPAWSAzurePub/SubBigQueryDataflowApache BeamLookerFivetranKubernetesGKEAirflowCloud ComposerTerraformSQLPython

Company Brief

Mozilla
Mozilla is a mission-driven organization that builds open-source internet products (notably the Firefox browser) and advocates for an open, private, and secure web through software, research, and community programs.
Industry: Enterprise Software
Company Size: Large (251 to 1,000 employees)
Growth: Nonprofit & NGO
Headquarters: San Francisco, United States
Founded: 1998
Glassdoor
Glassdoor: 2.9
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