{"id":2947198,"url":"https://alion.io/job/netflix-analytics-engineer-5-ads-identity-signals","title":"Analytics Engineer 5 - Ads Identity & Signals","company":{"id":5888,"name":"Netflix","domain":"netflix.com","url":"https://alion.io/company/netflix","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":86,"open_postings":79,"ghost_share":0,"stale_share":0.367,"repost_share":0,"time_to_fill_p50_days":71,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":330000,"max":566000,"currency":"USD","period":"year","gross":null,"usd_annual":566000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Neptune","optional":true},{"name":"Metaflow","optional":true},{"name":"Neo4j","optional":true}],"status":"live","first_seen_at":"2026-10-20T19:00:29Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-11-03T04:40:59Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"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. Come be a part of what’s next.\nIn 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.\nThe 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.\nThis 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.\nIn This Role, You Will\n\nDesign, 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.\nPartner with data engineering and software engineering to productionize matching logic, ensuring pipelines are scalable, well-tested, and monitored for data quality and drift.\nBuild metrics, dashboards, and analytics that quantify match rate, match quality, coverage, and graph stability, and that surface anomalies before they affect downstream campaigns.\nWork 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.\nManage 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.\nTranslate 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.\nCollaborate with product and cross-functional partners to define identity requirements, evaluate trade-offs (accuracy vs. coverage vs. privacy), and prioritize roadmap work.\nCommunicate technical decisions, trade-offs, and results clearly to both technical and non-technical audiences at all levels of the company.\nWe Are Looking For\n\n5+ years of experience as an analytics engineer, data engineer, or similar role working with large-scale data.\nExperience 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).\nFamiliarity with entity matching / identity resolution concepts - deterministic and probabilistic matching, fuzzy matching, blocking/candidate generation, and match quality evaluation.\nKnowledge of, or direct experience working with, identity providers such as Experian, TransUnion, LiveRamp, or similar data/identity partners.\nStrong SQL and Python skills, with experience building and maintaining production data pipelines.\nExperience designing data models, metrics, and dashboards that make complex technical systems understandable to non-technical stakeholders.\nDemonstrated ability to collaborate closely across data engineering, software engineering, data science, and product teams.\nAbility to work independently, drive your own projects, and make compelling cases for prioritization.\nEmbodies the Netflix values while bringing a new perspective to continue improving our culture.\nNice To Have\n\nExperience with ad-tech identity concepts - cross-device identity, household graphs, cookie/ID deprecation, or media measurement.\nExperience with graph databases or graph-processing frameworks (e.g., Neo4j, Neptune, GraphFrames, or similar).\nFamiliarity with our ML/data stack (Metaflow) or comparable large-scale data tooling.\nExperience working with privacy-sensitive data and an understanding of relevant data governance and privacy considerations for identity data.\nExperience applying GenAI to boost developer/analytics productivity.\nGenerally, 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.\nNetflix is a unique culture and environment. Learn more here.\nInclusion 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.\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\nJob is open for no less than 7 days and will be removed when the position is filled.","description_format":"text","description_chars":6921,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible time off","Retirement plans","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-10-20T19:00:29Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 439 · green card filings: 64","filings_12m":439,"filings_prev_12m":290,"green_card_filings_12m":64,"median_offered_wage_usd":252321,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":67}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":12,"expected_fill_days":71,"reasons":["conf:4","velocity","win:early","comp:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":566000,"is_top_pay":true},"html_url":"https://alion.io/job/netflix-analytics-engineer-5-ads-identity-signals","json_url":"https://alion.io/job/netflix-analytics-engineer-5-ads-identity-signals.json","meta":{"generated_at":"2026-11-03T04:56:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6682,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5888},"rest":"https://alion.io/mcp/rest/get_company?id=5888"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnetflix-analytics-engineer-5-ads-identity-signals"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnetflix-analytics-engineer-5-ads-identity-signals"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnetflix-analytics-engineer-5-ads-identity-signals"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/netflix-analytics-engineer-5-ads-identity-signals\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnetflix-analytics-engineer-5-ads-identity-signals"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2947198}},{"tool":"search_jobs","arguments":{"company":"netflix.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2947198},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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