Data Engineer - Financial Crimes - Associate
AI summary of the role
This Associate-level Data Engineer role in Morgan Stanley's Technology division focuses on building PySpark-based ETL frameworks for financial crimes data.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design, develop, and implement robust PySpark‑based ETL frameworks with error handling and fault tolerance in distributed cluster environments.
- Perform data enquiry, data analysis and data sourcing in Relational and Big Data database environments.
- Translate business requirements into data models and program design specifications.
- Troubleshoot data issues and collaborate with data providers and upstream teams to identify root causes and drive resolution.
What you’ll bring
- Experience with coding in all: Pyspark, Python, SQL
- Strong knowledge of relational databases and data modeling
- At least 5 years financial industry technology experience and knowledge of financial services data
- Strong analytical and troubleshooting skills
Technologies
PySpark · Python · SQL · ETL · Big Data · Stardog · Autosys · Power Designer · Linux Shell · Java
About Morgan Stanley
Global financial-services firm advising, trading, managing and allocating capital for corporations, governments, institutions, wealthy clients and retail investors across banking, markets and asset management.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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. This 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. Since 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 What you will do Design, develop, and implement robust PySpark‑based ETL frameworks with error handling and fault tolerance in distributed cluster environments. Perform data enquiry, data analysis and data sourcing in Relational and Big Data database environments. Develop a thorough
More from the job 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. This 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. Since 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 What you will do Design, develop, and implement robust PySpark‑based ETL frameworks with error handling and fault tolerance in distributed cluster environments. Perform data enquiry, data analysis and data sourcing in Relational and Big Data database environments. Develop a thorough understanding of technology systems, data stores, data pipelines, job streams, and downstream data consumers. Translate business requirements into data models and program design specifications Modify ETL and related programs to implement changes driven by evolving business requirements Respond to queries from business analysts and developers regarding data access, query design, and performance optimization. Troubleshoot data issues and collaborate with data providers and upstream teams to ide [... source excerpt omitted ...] roduction support as needed. Use AI‑enabled tools to accelerate data mapping, data lineage creation, and data profiling, improving turnaround time and overall data quality. What you will bring Experience with coding in all: Pyspark, Python, SQL Strong knowledge of relational databases and data modeling Strong SQL query-writing skills Strong analytical and troubleshooting skills. At least 5 years financial industry technology experience and knowledge of financial services data Good verbal and written communication skills Desired Skills: Hands-on Experience with Graph Database/Stardog Experience with coding Autosys job definitions Experience with Data Modeling tools (e. [... source excerpt omitted ...] inux Shell Experience in Java Development Experience and Understanding of Data Quality Rules and Implementation At 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 along
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