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Netflix
Netflix
B2CMedia
Netflix is a global streaming entertainment company and content producer known for its subscription platform of on-demand television shows, films, and original programming. With a stated mission to entertain the world, Netflix presents a worldwide hiring context supported by public materials covering its culture, inclusion, work-life approach, and recruiting accommodations.
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Senior Ads Identity Analytics Engineer

Build identity graphs, matching pipelines, and measurement systems for Netflix’s ad-supported streaming business. Improve match quality, coverage, and the reliability of identity data.

USUnited States
$330,000 – $566,000 / year
RemoteFull-timeMiddleSeniorEnglish RequiredAnalytics Engineer
Neo4jPythonSQL

Description

  • Develop and maintain data models and pipelines for identity graphs, entity matching, and identity resolution.
  • Work with data and software engineers to deploy scalable, tested matching logic and track data quality and drift.
  • Create metrics, dashboards, and analyses to measure match rates, match quality, coverage, and graph stability.
  • Detect anomalies before they affect downstream campaigns.
  • Partner with data scientists to assess and improve matching algorithms.
  • Prepare clean, documented data and features for model testing and iteration.
  • Oversee and assess analytics partnerships with external identity providers.
  • Bring new identity data sources onboard, verify match performance, and monitor data quality over time.
  • Turn identity graph and matching concepts into practical insights for product, sales, and other non-technical partners.
  • Work with product and cross-functional teams to set identity requirements, weigh accuracy, coverage, and privacy trade-offs, and prioritize roadmap work.
  • Explain technical decisions, trade-offs, and outcomes to technical and non-technical audiences.

Requirements

  • At least five years in an analytics engineering, data engineering, or similar role working with large-scale data.
  • Experience with graph data structures and graph-based data models.
  • Understanding of entity matching and identity resolution, including deterministic and probabilistic approaches, fuzzy matching, candidate generation, and match-quality evaluation.
  • Knowledge of or hands-on work with identity providers such as Experian, TransUnion, LiveRamp, or comparable partners.
  • Strong SQL and Python skills.
  • Experience building and maintaining production data pipelines.
  • Experience designing data models, metrics, and dashboards for non-technical audiences.
  • Ability to collaborate across data engineering, software engineering, data science, and product teams.
  • Ability to work independently, lead projects, and make persuasive prioritization cases.
  • Experience with ad-tech identity concepts.
  • Experience with graph databases or processing frameworks such as Neo4j, Neptune, or GraphFrames.
  • Familiarity with Metaflow or comparable large-scale data tools.
  • Experience handling privacy-sensitive data and applying relevant governance and privacy practices.
  • Experience using generative AI to improve developer or analytics productivity.

Benefits

  • Comprehensive health coverage.
  • Mental health support.
  • 401(k) retirement plan with an employer match.
  • Stock option program.
  • Disability programs.
  • Health savings and flexible spending accounts.
  • Family-forming benefits.
  • Life and serious injury coverage.
  • Paid leave programs.
  • Flexible time off for full-time salaried employees.

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