Note: The job is a remote job and is open to candidates in USA. Netflix is hiring an Analytics Engineer for its Ads Identity & Signals team. The role builds analytics and data infrastructure for identity graph construction and matching, including data models, pipelines, metrics, and dashboards that make identity health visible and actionable.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- 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
- 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
Company Overview
Company H1B Sponsorship