Analytics Engineer 5 - Ads Identity & Signals

In This Role, You Will

• Design, build, and maintain the data models and pipelines that support 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, ensuring pipelines are scalable, well-tested, and monitored for data quality and drift.
• Build metrics, dashboards, and analytics that quantify match rate, match quality, coverage, and graph stability, and that surface anomalies before they affect downstream campaigns.
• Work closely with data science to evaluate and improve matching algorithms, providing the clean, well-documented data and features needed to test and iterate on models.
• Manage and evaluate the analytics relationship with external identity providers (e.g., Experian, TransUnion, LiveRamp), including onboarding new sources, validating match performance, and monitoring ongoing data quality.
• Translate identity graph and matching concepts — nodes, edges, match confidence, deterministic vs. probabilistic matching — into clear, actionable insights for product, sales, and other non-technical stakeholders.
• Collaborate with product and cross-functional partners to define identity requirements, evaluate trade-offs (accuracy vs. coverage vs. privacy), and prioritize roadmap work.
• Communicate technical decisions, trade-offs, and results clearly to both technical and non-technical audiences at all levels of the company.

We Are Looking For

• 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.
• 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.

Pay and benefits

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. 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. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer 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. See more details about our Benefits here.

Netflix is a unique culture and environment.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully.

Job is open for no less than 7 days and will be removed when the position is filled.