{"id":32805,"url":"https://alion.io/job/public-storage-senior-aiml-data-engineer","title":"Senior AI/ML Data Engineer","company":{"id":5815,"name":"Public Storage","domain":"publicstorage.com","url":"https://alion.io/company/public-storage","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Frisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":211000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1181},"experience_years_min":6,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"Amazon Neptune","optional":true},{"name":"AWS","optional":true},{"name":"Embeddings","optional":true},{"name":"JavaScript","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"Neo4j","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-07-30T18:00:29Z","employer_posted_date":"2026-07-30","last_verified_at":"2026-10-19T08:38:47Z","board_verified":true,"closed_at":null,"days_open":80,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":80},"description":"Since opening our first self-storage facility in 1972, Public Storage has grown to become the largest owner and operator of self-storage facilities in the world. With thousands of locations across the U.S. and Europe, and more than 170 million net rentable square feet of real estate, we're also one of the largest landlords.\nWe've been recognized as A Great Place to Work by the Great Place to Work Institute. And, our employees have also voted us as having Best Career Growth, ranked us in the Top 5% for Work Culture, and in the Top 10% for Diversity and Inclusion.\nWe're a member of theS&P 500 and FT Global 500. Our common and preferred stocks trade on the New York Stock Exchange.\nPublic Storage is the nation’s leading self-storage provider, recognized for its iconic orange doors and commitment to delivering simple, reliable solutions to millions of customers across the country. We are expanding our creative team to enhance our consistent and engaging visual brand presence.\n What You’ll Do\nData Engineering & Pipeline Development (Primary) - 60%\nArchitect, build, and maintain batch and streaming data pipelines using BigQuery, dbt, Airflow/Cloud Composer, and Pub/Sub\nDesign and implement layered data models, semantic layers, and modular pipelines that scale as business needs evolve\nEstablish and enforce best practices for data quality, observability, lineage, and schema governance\nOptimize BigQuery for performance and cost efficiency, including partitioning, clustering, and workload-aware modeling\nWork with both structured data and unstructured data such as web logs, call center transcripts, images, and video when required by the use case\nLeverage BQML and related data science capabilities for use cases such as anomaly detection, classification, and operational decision support\nDeliver reliable, scalable, and high-performing pipelines that enable downstream ML, analytics, and operational applications\nML/AI Platform Engineering - 20%\nConvert prototype notebooks and models into production-grade, versioned, testable Python packages\nDeploy and manage training and inference workflows on GCP using Cloud Run, GKE, and Vertex AI\nImplement CI/CD, model versioning, rollback strategies, and operational guardrails for ML systems\nEvaluate emerging GCP and third-party products; build shared libraries, templates, and internal tooling that accelerate delivery across teams\nEnable ML teams to ship faster with fewer operational failure points\nApplied AI & Real-Time Decisioning - 20%\nSupport real-time, event-driven inference and streaming feature delivery for mission-critical decisions, including recommendation systems, dynamic experimentation, and agentic AI use cases\nContribute to internal LLM-based assistants, retrieval-augmented generation (RAG) systems, and automation agents\nImplement model monitoring, drift detection, alerting, and performance tracking frameworks\nEvaluate and apply graph-based data patterns where they improve recommendations, relationship analysis, knowledge retrieval, or decision intelligence\nCross-Functional Collaboration\nPartner with data scientists, analysts, and engineers to operationalize models, semantic layers, and data products into maintainable production systems\nCollaborate with pricing, digital product, analytics, and business teams to stage rollouts, support experiments, and define success metrics\nParticipate in architecture reviews, mentor engineers, and communicate technical trade-offs clearly\nContribute to an engineering culture grounded in ownership, curiosity, thoughtful debate, and continuous learning\nWhat We’re Looking For\nWe are looking for someone who is not only technically strong, but also:\nPassionate about building high-quality systems\nHardworking and dependable, with strong ownership of outcomes\nEager to learn, experiment, and deepen expertise over time\nComfortable in a fast-paced environment where priorities can shift quickly\nOpen to collaboration, feedback, and healthy technical debate\nInterested in growing both technical depth and leadership capability over the long term\n Qualifications\nMS in Computer Science with 4+ years of experience, or BS in Computer Science with 6+ years of experience\n3+ years of hands-on experience building data pipelines in a code-first environment using Python, SQL, and dbt\n1+ year of experience with real-time or event-driven systems such as Pub/Sub, Dataflow, or comparable streaming frameworks\n2+ years of experience owning technical decisions or helping lead engineering direction\n1+ year of hands-on experience with graph databases, including graph data modeling, relationship-centric querying, or graph-based problem solving\nPreferred Experience\nExperience with GCP and/or AWS\nExperience with ML platform tooling or monitoring such as MLflow, Evidently, or Vertex AI\nKnowledge of semantic search, vector embeddings, LLM orchestration, or RAG workflows\nExperience with graph database technologies such as Neo4j, Neptune, or similar platforms\nFamiliarity with use cases involving knowledge graphs, entity relationships, recommendation systems, fraud patterns, or connected data analysis\nDomain experience in pricing, recommendations, forecasting, or large-scale customer analytics\nFamiliarity with geospatial data or map-based modeling\nSome JavaScript experience for lightweight UI or prototyping work\nWhy This Role Will Excite You\nYou’ll work in a fast-moving environment where decisions are made quickly and your work drives real business outcomes\nYou’ll own meaningful parts of the platform, not just execute isolated tasks\nYou’ll build end-to-end solutions-from ingestion and transformation to ML inference and production integration\nYou’ll have the opportunity to learn quickly, expand your scope, and grow your technical leadership\nYou’ll join a team that values curiosity, execution, and continuous improvement\n Workplace\nOne of our values pillars is to work as One Team and we believe that there is no replacement for in-person collaboration but understand the value of some flexibility. Public Storage teammates are expected to work in the office five days each week with the option to take up to three flexible remote days per month. \nPublic Storage is an equal opportunity employer and embraces diversity. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status. All qualified candidates are encouraged to apply.\n**Sponsorship for Work Authorization is not available for this posting. Candidates must be authorized to work in the U.S. without restrictions or requiring sponsorship now or in the future. We do not provide training plans or support for F-1 OPT, STEM OPT extensions, or future visa sponsorship.**","description_format":"text","description_chars":6769,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate Investment","Real Estate Rental"],"lifecycle":[{"event":"open","at":"2026-07-30T18:00:29Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 6 · green card filings: 5","filings_12m":6,"filings_prev_12m":10,"green_card_filings_12m":5,"median_offered_wage_usd":148864,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+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":1}],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.494,"p_room":0.28,"age_days":80,"expected_fill_days":21,"reasons":["conf:1","velocity","win:tail","crowd:"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/public-storage-senior-aiml-data-engineer","json_url":"https://alion.io/job/public-storage-senior-aiml-data-engineer.json","meta":{"generated_at":"2026-10-19T10:37:30Z","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":7420,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":5815},"rest":"https://alion.io/mcp/rest/get_company?id=5815"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpublic-storage-senior-aiml-data-engineer"},{"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%2Fpublic-storage-senior-aiml-data-engineer"},{"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%2Fpublic-storage-senior-aiml-data-engineer"},{"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/public-storage-senior-aiml-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpublic-storage-senior-aiml-data-engineer"}]}