{"id":1226007,"url":"https://alion.io/job/morgan-stanley-data-engineer-financial-crimes-associate","title":"Data Engineer - Financial Crimes - Associate","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":"B","score":84,"open_postings":214,"ghost_share":0,"stale_share":0.617,"repost_share":0.014,"time_to_fill_p50_days":47,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":120000,"max_usd":230000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1089},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Java","optional":true},{"name":"Linux","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-04-22T00:00:00Z","employer_posted_date":"2026-06-05","last_verified_at":"2026-10-13T12:11:28Z","board_verified":true,"closed_at":null,"days_open":174,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":174},"description":"In 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.\nThis is a Principal Software Engineering position at Associate level which is part of the job family responsible for developing and maintaining software solutions that support business needs.\nSince 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world\nWhat you will do\nDesign, develop, and implement robust PySpark-based ETL frameworks with error handling and fault tolerance in distributed cluster environments.\n\nPerform data enquiry, data analysis and data sourcing in Relational and Big Data database environments.\n\nDevelop a thorough understanding of technology systems, data stores, data pipelines, job streams, and downstream data consumers.\n\nTranslate business requirements into data models and program design specifications\n\nModify ETL and related programs to implement changes driven by evolving business requirements\n\nRespond to queries from business analysts and developers regarding data access, query design, and performance optimization.\n\nTroubleshoot data issues and collaborate with data providers and upstream teams to identify root causes and drive resolution. Provide Level-3 (L3) production support as needed.\n\nUse AI-enabled tools to accelerate data mapping, data lineage creation, and data profiling, improving turnaround time and overall data quality.\n\nWhat you will bring\nExperience with coding in all: Pyspark, Python, SQL\n\nStrong knowledge of relational databases and data modeling\n\nStrong SQL query-writing skills\n\nStrong analytical and troubleshooting skills.\n\nAt least 5 years financial industry technology experience and knowledge of financial services data\n\nGood verbal and written communication skills\n\nDesired Skills:\nHands-on Experience with Graph Database/Stardog\n\nExperience with coding Autosys job definitions\n\nExperience with Data Modeling tools (e.g., Power Designer)\n\nExperience in Linux Shell\n\nExperience in Java Development\n\nExperience and Understanding of Data Quality Rules and Implementation\n\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\nevery 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 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.\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.\nExpected base pay rates for the role will be between 90,000 and 150,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.\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 backgrounds, talents, perspectives, and experiences.\nFor more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.","description_format":"text","description_chars":5828,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-09-25T13:19:01Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 261 · green card filings: 46","filings_12m":261,"filings_prev_12m":208,"green_card_filings_12m":46,"median_offered_wage_usd":202500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+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":14}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.289,"p_room":0.28,"age_days":174,"expected_fill_days":47,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/morgan-stanley-data-engineer-financial-crimes-associate","json_url":"https://alion.io/job/morgan-stanley-data-engineer-financial-crimes-associate.json","meta":{"generated_at":"2026-10-13T13:33:35Z","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":20994,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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-data-engineer-financial-crimes-associate"},{"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-data-engineer-financial-crimes-associate"},{"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-data-engineer-financial-crimes-associate"},{"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-data-engineer-financial-crimes-associate\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmorgan-stanley-data-engineer-financial-crimes-associate"}]}