{"id":1314914,"url":"https://alion.io/job/morgan-stanley-full-stack-developer-data-engineering-hybrid","title":"Full Stack Developer – Data Engineering (Hybrid)","company":{"id":40230,"name":"Morgan Stanley","domain":"morganstanley.com","url":"https://alion.io/company/morgan-stanley","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":89,"open_postings":215,"ghost_share":0,"stale_share":0.451,"repost_share":0.014,"time_to_fill_p50_days":55,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Montreal, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":102000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":79},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Angular","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Db2","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false},{"name":"Teradata","optional":false},{"name":"JavaScript","optional":true},{"name":"LLM","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-08-17T00:00:00Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-18T00:18:04Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"We’re seeking someone to join our Data Obfuscation team as a Full Stack Developer - Data Engineering to design and deliver scalable, secure, and reusable data platforms and services that support enterprise data protection and obfuscation initiatives.\nIn the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Cybersecurity Engineering III position at Associate level, which is part of the job family responsible for providing specialist cyber expertise and creating solutions that protect the organization's systems and networks against actual and potential security threats and vulnerabilities.\nSince 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.\nWhat you'll do in the role:\nDesign and develop resilient on-prem and multi-cloud database solutions with Java, Spring Boot, Angular, and Python.\n\nDevelop high-performance solutions that efficiently handle large-scale data and metadata operations leveraging Python’s multithreading and multiprocessing libraries and ensure robust error handling and resource management in parallel execution environments.\n\nDeliver secure, high-performance and efficient database and ETL capabilities using Java Collections Framework, data structures, algorithms, and object-oriented design principles, while ensuring scalability, governance, and reliability.\n\nDesign and develop full-stack applications, including responsive web user interfaces, RESTful APIs, backend services, and integrations with database and ETL platforms.\n\nBuild self-service capabilities, operational dashboards, workflow automation, and metadata-driven solutions using modern web technologies and microservices architectures.\n\nDevelop AI-driven solutions to discover, classify, and protect sensitive information within unstructured data, leveraging advanced natural language processing and automated data masking techniques\n\nBuild solutions with pushdown optimization, ELT, ETL, Spark-based data processing and streaming, replication, partitioning, clustering, change data capture, and time travel debugging.\n\nDesign and build automations and tooling to enable firmwide data engineering and application development teams, helping them optimize data processing based on their specific database platforms and user needs.\n\nContribute to strategic initiatives around system modernization, platform standardization, observability, and cost efficiency.\n\nDevelop solutions leveraging database backup and restore methods, DDL generation and manipulation, database access management, schema and object-level high-performance data movement.\n\nWhat you'll bring to the role:\n4+ years of proven track record in designing and implementing complex database and data solutions with full stack application development.\n\nStrong expertise in database/data engineering across multiple database platforms and environments (e.g., PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, etc.).\n\nHands-on experience developing full-stack applications using Java/Spring Boot, Python, REST APIs, and Angular.\n\nStrong understanding of API design, microservices architecture, authentication mechanisms (OAuth, service principals, token-based authentication), and secure application development practices.\n\nExperience in writing complex Python scripts, with a particular focus on building and optimizing multi-threaded, multi-process, concurrent, and asynchronous solutions; exposure to distributed computing tools (such as Apache Spark for Python) is an asset.\n\nExperience in designing and developing AI-powered solutions using Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic workflows.\n\nAbility to build and optimize data pipelines and data architectures (preferred using Talend, Kafka, and/or Informatica).\n\nExpertise in performance optimization, scalability, troubleshooting, analytical problem-solving, and software design.\n\nAll our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.\nKnowledge of French and English is required\nDéveloppeur(euse) Full Stack - Ingénierie des données (hybride)\nNous sommes à la recherche d’une personne qui se joindra à notre équipe d’Obfuscation des données à titre de développeur(euse) Full Stack - Ingénierie des données afin de concevoir et de livrer des plateformes et services de données évolutifs, sécurisés et réutilisables qui soutiennent les initiatives de protection et d’obfuscation des données à l’échelle de l’entreprise.\nAu sein de la division Technologie, nous misons sur l’innovation pour développer les connexions et les capacités qui alimentent notre firme, permettant à nos clients et collègues de redéfinir les marchés et de façonner l’avenir de nos collectivités. Il s’agit d’un poste d’Ingénierie de la cybersécurité III au niveau associé, faisant partie de la famille d’emplois responsable de fournir une expertise spécialisée en cybersécurité et de créer des solutions qui protègent les systèmes et les réseaux de l’organisation contre les menaces et vulnérabilités réelles ou potentielles en matière de sécurité.\nDepuis 1935, Morgan Stanley est reconnu comme un chef de file mondial des services financiers, en constante évolution et innovation afin de mieux servir ses clients et les collectivités dans plus de 40 pays à travers le monde.\nCe que vous ferez dans ce rôle :\nConcevoir et développer des solutions de bases de données résilientes sur site (on-premises) et dans des environnements multinuagiques à l’aide de Java, Spring Boot, Angular et Python.\n\nDévelopper des solutions hautement performantes capables de traiter efficacement des opérations de données et de métadonnées à grande échelle en tirant parti des bibliothèques de Python pour le multithreading et le multiprocessus, tout en assurant une gestion robuste des erreurs et des ressources dans des environnements d’exécution parallèles.\n\nFournir des capacités de bases de données et d’ETL sécurisées, performantes et efficaces en utilisant le Java Collections Framework, les structures de données, les algorithmes et les principes de conception orientée objet, tout en assurant l’évolutivité, la gouvernance et la fiabilité.\n\nConcevoir et développer des applications Full Stack, y compris des interfaces utilisateur Web réactives, des API RESTful, des services arrière-plan et des intégrations avec des plateformes de bases de données et d’ETL.\n\nDévelopper des fonctionnalités en libre-service, des tableaux de bord opérationnels, des automatisations de flux de travail et des solutions pilotées par les métadonnées à l’aide de technologies Web modernes et d’architectures de microservices.\n\nDévelopper des solutions alimentées par l’intelligence artificielle afin de découvrir, classifier et protéger les renseignements sensibles dans les données non structurées, en utilisant des techniques avancées de traitement automatique du langage naturel et de masquage automatisé des données.\n\nCréer des solutions utilisant l’optimisation pushdown, les processus ELT et ETL, le traitement et la diffusion de données fondés sur Spark, la réplication, le partitionnement, le clustering, la capture des changements de données (CDC) et les capacités de débogage temporel.\n\nConcevoir et développer des automatisations et des outils destinés aux équipes d’ingénierie des données et de développement d’applications à l’échelle de la firme afin de les aider à optimiser le traitement des données selon leurs plateformes de bases de données et les besoins de leurs utilisateurs.\n\nContribuer à des initiatives stratégiques liées à la modernisation des systèmes, à la normalisation des plateformes, à l’observabilité et à l’efficacité des coûts.\n\nDévelopper des solutions exploitant les méthodes de sauvegarde et de restauration de bases de données, la génération et la manipulation de DDL, la gestion des accès aux bases de données ainsi que le déplacement performant de données au niveau des schémas et des objets.\n\nCe que vous apporterez au rôle :\nPlus de 4 ans d’expérience démontrée dans la conception et la mise en œuvre de solutions complexes de bases de données et de données, combinées au développement d’applications Full Stack.\n\nExpertise en ingénierie des données et des bases de données dans plusieurs plateformes et environnements (ex. PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, etc.).\n\nExpérience pratique du développement d’applications Full Stack à l’aide de Java/Spring Boot, Python, d’API REST et d’Angular.\n\nSolide compréhension de la conception d’API, des architectures de microservices, des mécanismes d’authentification (OAuth, identités de service, authentification par jetons) et des pratiques de développement d’applications sécurisées.\n\nExpérience dans la rédaction de scripts Python complexes, avec un accent particulier sur la conception et l’optimisation de solutions multithreads, multiprocessus, concurrentes et asynchrones; une expérience avec des outils d’informatique distribuée (comme Apache Spark pour Python) constitue un atout.\n\nExpérience dans la conception et le développement de solutions alimentées par l’intelligence artificielle utilisant les grands modèles de langage (LLM), la génération augmentée par récupération (RAG) et les flux de travail agentiques.\n\nCapacité à concevoir et optimiser des pipelines de données et des architectures de données (de préférence à l’aide de Talend, Kafka et/ou Informatica).\n\nExpertise en optimisation de performance, évolutivité, dépannage, résolution analytique de problèmes et conception logicielle.\n\nTous nos postes sont situés à Montréal, Québec. Nous offrons un mode de travail hybride, combinant télétravail et présence au bureau.\nLa connaissance du français et de l’anglais est requise.\nCe texte a été traduit à l’aide d’outils automatisés. Bien que nous nous efforcions d’en assurer l’exactitude, veuillez consulter la version originale en anglais ou communiquer avec les ressources humaines pour toute clarification\nWHAT YOU CAN EXPECT FROM MORGAN STANLEY:\nAt Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that’s differentiated - and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.\nTo learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.\nMorgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.\nOur workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of background...","description_format":"text","description_chars":14562,"description_truncated":true,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"French","level":"All levels","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Asset Management & Funds","Information Security","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-09-26T18:06:17Z"}],"visa":[{"country":"CA","licensed_sponsor":true,"evidence":"Positions approved through LMIA in 12 months: 24","filings_12m":24,"filings_prev_12m":14,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Talent Stream","cap_exempt":false,"checked_at":"2026-10-03T21:10:52+00:00","sources":["ESDC: employers issued a positive LMIA"],"filings_for_role_12m":13}],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.715,"p_room":0.44,"age_days":61,"expected_fill_days":55,"reasons":["conf:1","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/morgan-stanley-full-stack-developer-data-engineering-hybrid","json_url":"https://alion.io/job/morgan-stanley-full-stack-developer-data-engineering-hybrid.json","meta":{"generated_at":"2026-10-18T02:34:36Z","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":4133,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":40230},"rest":"https://alion.io/mcp/rest/get_company?id=40230"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmorgan-stanley-full-stack-developer-data-engineering-hybrid"},{"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%2Fmorgan-stanley-full-stack-developer-data-engineering-hybrid"},{"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%2Fmorgan-stanley-full-stack-developer-data-engineering-hybrid"},{"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/morgan-stanley-full-stack-developer-data-engineering-hybrid\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmorgan-stanley-full-stack-developer-data-engineering-hybrid"}]}