Data & Software Engineer 5 — System Insights & Productivity Metrics

Netflix
Warsaw
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Collaboration","Communication","Data quality focus","Software design","Comfort with ambiguity"]

Build data and software solutions for the System Insights & Productivity Metrics team, ingesting, processing, aggregating, and visualizing system insights at scale. Develop scalable data pipelines and software applications supporting analytics, reporting, and experimentation. Optimize distributed processing frameworks for large datasets, improve system efficiency and data governance practices, and collaborate with data scientists, product managers, and engineers to accelerate innovation and reduce risk.

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Netflix
Netflix
7 months ago

Data & Software Engineer 5 — System Insights & Productivity Metrics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build data and software solutions for the System Insights & Productivity Metrics team, ingesting, processing, aggregating, and visualizing system insights at scale. Develop scalable data pipelines and software applications supporting analytics, reporting, and experimentation. Optimize distributed processing frameworks for large datasets, improve system efficiency and data governance practices, and collaborate with data scientists, product managers, and engineers to accelerate innovation and reduce risk.
Location: Warsaw
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain scalable data pipelines and software applications supporting Netflix’s business objectives.
  • •Collaborate with cross-functional teams to translate business needs into technical solutions that improve innovation and efficiency.
  • •Implement and optimize distributed processing frameworks for large-scale data processing.
  • •Develop and integrate software solutions for data analysis, reporting, and experimentation.
  • •Continuously improve system efficiency and effectiveness using best practices in data governance and software engineering.

Key Requirements

  • •Proficiency in Java, Spark, and SQL.
  • •Extensive experience with ETL, aggregation, and reporting.
  • •Experience building and managing distributed systems and data pipelines.
  • •Familiarity with building MCPs and GenAI Frameworks.
  • •Comfortable working with big data technologies and large-scale datasets in an agile environment with ambiguous requirements.
Skills:CollaborationCommunicationData quality focusSoftware designComfort with ambiguity
Tech Stack:JavaSparkSQL

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
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Glassdoor: 4.1
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