E*TRADE from Morgan Stanley ยท 6 hours ago
Senior Data Engineer - Associate
New York, New York, United States of America
Full-time
Onsite
Mid, Senior Level
$90K/yr - $150K/yr
6+ years expMorgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. As a Senior Data Engineer, you will create and deliver high-quality data solutions for the Fraud business partners and be a productive member of the development team, working with various technology stacks including cloud-based technologies in Azure.
BankingFinanceFinancial Services
Responsibilities
Create and deliver high quality, resilient data solutions to our Fraud business partners
Be a productive member of the development team
Work on various existing and new technology stacks which include on-prem relational and big-data technologies & new cloud-based technologies in Azure
Share ownership of our projects and contribute to the active development and maintenance of our applications
Be exposed to modern software engineering tools and best practices
Be exposed to how a large investment bank like Morgan Stanley detects and prevents fraud
Work in a dynamic agile team that uses Scrum for its workflow
Be involved in the full development lifecycle
Collaborate with others in the wider team
Qualification
Required
6+ years of relevant work experience
Strong with programming in Python to perform
Batch data engineering on Apache Spark and populate downstream batch data stores (such as data mart) for BI use cases & to generate downstream feeds (ie., flat & wide tables or compressed files) for Data Science use cases
Real-time service integration to process business events off Kafka and persist in operational MS SQL/MongoDB and/or Neo4j Graph data stores for fraud investigation
Near real-time stream processing to derive features for ML model inference
Strong with SQL Server & Hadoop based implementations
Strong SQL & Stored Procedure skills
Exposure to modern operational NewSQL or NoSQL database technologies such as Neo4j, MongoDB, MemSQL etc
Good hands-on experience with at least one of the job scheduling tools like Autosys (Preferred), Control-M etc
Experience of working in a Linux environment and can write Python/Shell scripts
Strong data architecture and modeling experience. Especially, in dimensional modeling for data mart design and development to support BI use cases
Strong data analytics skills
Strong oral and written communication skills
Excellent interpersonal skills and professional approach
Strong analytical and problem-solving skills
Ability to learn quickly and pick up new techniques and/or technologies
Experience in building & maintaining data solutions for Operational, BI & Data Science use cases
Preferred
Experience with Azure (Databricks, Data Factory, Synapse, Azure Data Lake) and/or AWS (AWS S3, AWS Athena, AWS Glue) Data ecosystem & Snowflake Data Cloud
Experience in building virtual data access layer using Data Virtualization technologies to support BI & Data Science use cases
Experience of the full software development life cycle
Experience of working in an Agile team
Experience of working with version control systems
Experience with bash scripting
Experience of working with Continuous Integration systems
Experience in Fraud detection and prevention business in Financial Services
Benefits
Commission earnings
Incentive compensation
Discretionary bonuses
Other short and long-term incentive packages
Other Morgan Stanley sponsored benefit programs
Company
E*TRADE from Morgan Stanley
E*TRADE from Morgan Stanley is a pioneer in the online brokerage industry.
1001-5000 employees
H1B Sponsorship
E*TRADE from Morgan Stanley has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (3)
Funding
Current Stage
Public CompanyTotal Funding
unknown2020-02-20Acquired
1996-08-16IPO
Leadership Team
Julia Miller
Executive Director, Creative Services
Recent News
2025-11-07
2025-10-14
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