Associate Data Engineer, Financial Crimes

Morgan Stanley

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$90,000–$150,000 / yr
Posted
98 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $120k
$75k most similar roles pay here $226k

This role pays less than 87% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $120k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Morgan Stanley

Morgan Stanley is a global financial services firm providing investment banking, securities, wealth management, and investment management services to corporations, governments, institutions, and individuals. Industry: Investment Banking & Financial Services

Morgan Stanley currently has 38 open roles on FindRole.

Listed pay typically runs $150,000–$210,000 across 31 roles with salary data.

Most-posted roles

View all roles at Morgan Stanley

At a glance

TL;DR · Associate Data Engineer, Financial Crimes

Data Engineer - Financial Crimes - Associate As part of the Technology division, this Associate level role involves developing and maintaining software solutions to support business needs within the financial crimes domain. You will design, develop, and implement robust PySpark-based ETL frameworks featuring error handling and fault tolerance in distributed cluster environments. Daily responsibilities include performing data enquiry, analysis, and sourcing across relational and Big Data databases while translating business requirements into data models and program specifications. You will also provide Level-3 production support, troubleshoot data issues with upstream teams, and use AI-enabled tools for mapping and lineage creation. The role requires proficiency in PySpark, Python, SQL, Linux Shell, and Java. Candidates should possess strong analytical skills, experience with Graph Databases like Stardog, and a deep understanding of financial services data and quality rules.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Design, develop, and implement robust PySpark-based ETL frameworks with error handling in distributed environments.
  • Perform data enquiry, analysis, and sourcing across relational and Big Data database systems.
  • Translate business requirements into technical data models and program design specifications.
  • Modify existing ETL programs to accommodate evolving business requirements and changes.
  • Provide Level-3 production support and troubleshoot complex data issues with upstream teams.
  • Respond to queries from analysts regarding data access, query design, and performance optimization.
  • Utilize AI-enabled tools for data mapping, lineage creation, and profiling to improve quality.

What we're looking for

  • Experience with coding in PySpark, Python, and SQL.
  • Strong knowledge of relational databases and data modeling.
  • Strong analytical and troubleshooting skills.
  • At least 5 years of financial industry technology experience and knowledge of financial services data.
  • Good verbal and written communication skills.
  • Experience with Linux Shell and Java development is desired.
  • Experience with Graph Databases, Stardog, Autosys job definitions, and Power Designer is desired.

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