Morgan Stanley
Data Engineer - Financial Crimes - Associate
$90K–$150K
New York, New York · On-site · Full-time · Posted Jun 5, 2026
- Experience
- At least 5 years of financial industry technology experience.
About the job
Builds and supports data pipelines and ETL frameworks for financial-crimes data, translating business needs into data models and resolving data-quality and production issues.
What you'll do
- Design and implement fault-tolerant PySpark ETL frameworks; analyze and source data across relational and big-data databases.
- Translate business requirements into data models and program specifications, and modify ETL programs as needs evolve.
- Troubleshoot data issues, work with upstream teams on resolution, provide L3 support, and use AI-enabled tools for data mapping, lineage, and profiling.
What they ask for
- Coding experience in Pyspark, Python, and SQL.
- Strong knowledge of relational databases and data modeling, plus strong SQL query-writing skills.
- Strong analytical and troubleshooting skills.
- At least 5 years of financial industry technology experience and knowledge of financial services data.
Nice to have
- Hands-on experience with Graph Database/Stardog, Autosys job definitions, or data modeling tools such as Power Designer.
- Experience in Linux Shell or Java Development, and understanding of data quality rules and implementation.
Pay
90,000 and 150,000 per year (USD, base salary)
Tools
PySpark, Python, SQL, Graph Database/Stardog, Autosys, Power Designer, Linux Shell, Java
AI focus
Use AI-enabled tools to accelerate data mapping, data lineage creation, and data profiling, improving turnaround time and data quality.
Model-written summary · the original posting is authoritative