Analytics Engineer 5, Ads Identity and Signals

Bazeta; United States; Remote; USD 330,000 - 566,000; Full time

Job summary

Netflix is seeking an Analytics Engineer to help build the identity graph and matching systems for the ads identity & signals platform. You will design data models, ingest signals, and collaborate with data engineering, data science, and product teams to deliver reliable metrics.

You will own end-to-end pipelines, monitor data quality, and surface insights on match quality and drift to inform campaigns.

Qualifications

• 5+ years of experience as an analytics engineer, data engineer, or similar role working with large-scale data.
• Experience with graph data structures and graph databases.
• Strong SQL and Python; production data pipelines.

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, surfacing anomalies before they affect campaigns.
• Collaborate with data science to evaluate and improve matching algorithms, providing clean data and features to test models.
• Manage and evaluate analytics relationships with external identity providers, onboarding new sources and monitoring data quality.

Skills

SQL

Python

Graph data

Data pipelines

Identity resolution

Tools

Neo4j

GraphFrames

Metaflow

Job description

# Analytics Engineer 5, Ads Identity and SignalsUnited States1 hour agoID 4479935Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: Netflix## DescriptionAt 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. Come be a part of what’s next. In 2022 we launched a new lower-priced, ad-supported tier, and we are building an in-house, world-class ad-tech ecosystem to give our members more choice and to offer advertisers a premium, better-than-linear-TV experience. We are looking for the founding members of this new business area for Netflix. The Identity & Signals team builds the identity foundation of the Netflix ads business, the graph and matching systems that let us recognize the same person or household across signals, devices, and partner data sources, and that determine which signals we can responsibly and accurately use for targeting, measurement, and reporting. We build and maintain the identity graph, run and evaluate entity-matching and resolution pipelines, and manage relationships with identity providers so that advertisers and internal teams can trust the signals underneath every campaign. This is a foundational role on a small, high-leverage team. You will build the analytics and data infrastructure that powers identity matching and graph construction, designing the tables, pipelines, and metrics that let the team and its stakeholders understand match quality, coverage, and drift over time. 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. 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, including nodes, edges, match confidence, and 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, including 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, including 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. 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....