Database Engineer

Morgan Stanley

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$120,000–$170,000 / yr
Posted
57 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k
This role $145k
$109k most similar roles pay here $222k

This role pays less than 67% of similar roles. Most pay $128,450–$211,200 — the shaded band above. At the midpoint, this role pays about $145k versus about $170k 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 · Database Engineer

As a Director level Database Engineer within the FICFX team, you will support high-performance trading platforms by managing mission-critical real-time systems. Your daily responsibilities include designing and optimizing schemas, queries, and database structures while performing deep performance analysis and root cause troubleshooting. You will build and maintain automation tools and manage data pipelines, including ETL and replication processes. The role requires extensive experience with SQL, SAP ASE, SAP IQ, MS SQL Server, and PostgreSQL environments. To succeed, you must demonstrate proficiency in Python, Perl, and Shell scripting, alongside Linux/Unix administration skills. Additionally, the position involves utilizing AI/ML tools for performance analysis within the context of fixed income products and trading systems to ensure engineering excellence across global operations and infrastructure.

What you'll do

  • Design and optimize schemas, queries, and database structures across SAP ASE, IQ, MS SQL Server, and PostgreSQL.
  • Perform deep performance analysis and root cause troubleshooting for mission-critical real-time systems.
  • Build and maintain automation scripts using Python, Perl, and Shell.
  • Support real-time and batch data pipelines, including ETL processes and replication.
  • Enhance monitoring capabilities, data capture methods, and operational tooling.
  • Communicate with product leads to identify and implement improvements for existing and future technology solutions.

What we're looking for

  • At least 4 years of related experience.
  • Strong SQL experience with mission-critical real-time systems.
  • Proficiency in SAP ASE and/or SAP IQ database environments.
  • Strong scripting skills in Python, Perl, and Shell.
  • Experience with Linux/Unix administration and shell scripting.
  • Expertise in database performance tuning and troubleshooting.
  • Knowledge of Fixed Income products or trading systems is desired.
  • Exposure to AI/ML tools for performance analysis is desired.

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