Analytics Engineer 5 – Identity & Signal

🕒 July 7

🇺🇸 United States – Remote

💵 $330k - $566k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Design, build, and maintain data models and pipelines supporting identity graph construction, entity matching, and identity resolution across first-party and third-party signals • Partner with data engineering and software engineering to productionize matching logic and ensure pipelines are scalable, well-tested, and monitored for data quality and drift • Build metrics, dashboards, and analytics quantifying match rate, match quality, coverage, and graph stability • Surface anomalies before they affect downstream campaigns • Work with data science to evaluate and improve matching algorithms, providing clean, documented data and features for model testing and iteration • Manage and evaluate analytics relationships with external identity providers, including onboarding sources, validating match performance, and monitoring ongoing data quality • Translate identity graph and matching concepts into actionable insights for product, sales, and non-technical stakeholders • Collaborate with product and cross-functional partners to define identity requirements, evaluate accuracy, coverage, and privacy trade-offs, and prioritize roadmap work • Communicate technical decisions, trade-offs, and results clearly to technical and non-technical audiences

🎯 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 • Knowledge of, or direct experience working with, identity providers such as Experian, TransUnion, LiveRamp, or similar data/identity partners • Strong SQL and Python skills, with experience building and maintaining production data pipelines • Experience designing data models, metrics, and dashboards that make complex technical systems understandable to non-technical stakeholders • Demonstrated ability to collaborate closely across data engineering, software engineering, data science, and product teams • Ability to work independently, drive your own projects, and make compelling cases for prioritization • Embodies the Netflix values while bringing a new perspective to continue improving our culture • Nice to have: Experience with ad-tech identity concepts — cross-device identity, household graphs, cookie/ID deprecation, or media measurement • Nice to have: Experience with graph databases or graph-processing frameworks (e.g., Neo4j, Neptune, GraphFrames, or similar) • Nice to have: Familiarity with our ML/data stack (Metaflow) or comparable large-scale data tooling • Nice to have: Experience working with privacy-sensitive data and an understanding of relevant data governance and privacy considerations for identity data • Nice to have: Experience applying GenAI to boost developer/analytics productivity

🏖️ Benefits

• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off • Full-time salaried employees are immediately entitled to flexible time off