Netflix

Netflix

Analytics Engineer 5 - Ads Identity & Signals

Remote, United States · Senior · Full-time

Sponsorship not specified$330k-$566kDetected 30 min ago
PythonData StructuresAlgorithmsSQLMachine LearningData EngineeringData ScienceProduct Management

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 6 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 85%

Of 40 labor certifications old enough to have been used, 6 expired without the employer filing the next step. Median time from filing to decision: 496 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

160 transfer filings in the last year, covering 388 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This is a foundational role on a small, high-leverage team.
  • You'll work end-to-end: from raw signal ingestion, through matching logic and graph construction, to the dashboards and data products that make identity health visible and actionable across the company.

Requirements

  • 5+ years of experience as an analytics engineer, data engineer, or similar role working with large-scale data.
  • Experience working with graph data structures and graph-based data models (e.g., property graphs, graph databases, or graph analytics on top of relational/columnar stores).
  • Familiarity with entity matching / identity resolution concepts - deterministic and probabilistic matching, fuzzy matching, blocking/candidate generation, and match quality evaluation.
  • Experience designing data models, metrics, and dashboards that make complex technical systems understandable to non-technical stakeholders.

Nice to have

  • Experience with ad-tech identity concepts - cross-device identity, household graphs, cookie/ID deprecation, or media measurement.
  • Experience with graph databases or graph-processing frameworks (e.g., Neo4j, Neptune, GraphFrames, or similar).
  • Familiarity with our ML/data stack (Metaflow) or comparable large-scale data tooling.
  • Experience working with privacy-sensitive data and an understanding of relevant data governance and privacy considerations for identity data.
  • Experience applying GenAI to boost developer/analytics productivity.
  • we do not have bonuses.
  • To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range.
  • The range for this role is $330,000.00 - $566,000.00.

Compensation

  • $330k-$566k

Company info

  • At Netflix, our mission is to entertain the world.
  • Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.
  • We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

This listing is sourced directly from Netflix's careers page and normalized into a canonical job model.