{"id":1919925,"url":"https://alion.io/job/perplexity-ai-member-of-data-staff-analytics-engineer-2","title":"Member of Data Staff (Analytics Engineer)","company":{"id":3,"name":"Perplexity AI","domain":"perplexity.ai","url":"https://alion.io/company/perplexity","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":81,"open_postings":35,"ghost_share":0,"stale_share":0.771,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":330000,"currency":"USD","period":"year","gross":null,"usd_annual":330000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Perplexity","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-05T16:54:33Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-31T12:00:37Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI.\nWe're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company.\nThis role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance.\nWhat You'll Do\nBuild the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable.\n\nManage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly.\n\nMake the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly.\n\nOwn data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes.\n\nLead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse.\n\nBuild with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled.\n\nAutomate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting.\n\nImprove data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions.\n\nPartner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems.\n\nShape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team.\n\nWhat We're Looking For\n6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role.\n\nDeep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries.\n\nStrong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts, testing, and how analytical schemas should evolve.\n\nPipeline ownership - you've built, maintained, debugged, and improved production data pipelines.\n\nWarehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership.\n\nGovernance mindset - you think clearly about data ownership, access controls, privacy, retention, lineage, auditability, and the risks of making data too easy to access.\n\nAI-native working style - you already use AI to speed up development, documentation, QA, exploration, and repetitive workflow automation.\n\nStakeholder fluency - you know how to turn messy analytical requirements into trusted models, metrics, and reusable data assets.\n\nAutonomy and execution - you can take projects from ambiguous problem to production-quality system with minimal oversight.\n\nOperational judgment - you care about reliability, governance, security, cost, and long-term maintainability.\n\nBonus\nSnowflake administration, optimization, cost management, or warehouse performance tuning.\n\nExperience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews.\n\nExperience with Databricks or other modern data infrastructure.\n\nExperience building semantic layers, metrics layers, metadata systems, or data catalogs.\n\nPython experience for data tooling, automation, orchestration, or quality checks.\n\nPrevious experience as an early analytics engineer or data engineer at a high-growth startup.\n\nWhy This Role\nOwn the foundation - your work will determine how fast and confidently the company can use data.\n\nBuild for humans and AI - the next generation of data infrastructure needs to be understandable by agents as well as analysts.\n\nHigh leverage - better models, pipelines, and tools multiply every data scientist and every stakeholder who depends on data.\n\nSmall team, broad scope - you'll have room to define standards, choose tools, and ship systems that become company-wide defaults.","description_format":"text","description_chars":5358,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Search Engines","Foundation Models","AI Search"],"lifecycle":[{"event":"open","at":"2026-10-05T17:46:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 18","filings_12m":18,"filings_prev_12m":10,"green_card_filings_12m":0,"median_offered_wage_usd":212500,"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)"],"filings_for_role_12m":1}],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":1,"p_active":0.631,"p_room":0.9,"age_days":25,"expected_fill_days":52,"reasons":["conf:1","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":330000,"is_top_pay":true},"html_url":"https://alion.io/job/perplexity-ai-member-of-data-staff-analytics-engineer-2","json_url":"https://alion.io/job/perplexity-ai-member-of-data-staff-analytics-engineer-2.json","meta":{"generated_at":"2026-10-31T12:26:30Z","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":19218,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":3},"rest":"https://alion.io/mcp/rest/get_company?id=3"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fperplexity-ai-member-of-data-staff-analytics-engineer-2"},{"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%2Fperplexity-ai-member-of-data-staff-analytics-engineer-2"},{"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%2Fperplexity-ai-member-of-data-staff-analytics-engineer-2"},{"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/perplexity-ai-member-of-data-staff-analytics-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fperplexity-ai-member-of-data-staff-analytics-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1919925}},{"tool":"search_jobs","arguments":{"company":"perplexity.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1919925},"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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