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Database Engineer

Morgan Stanley

Database Engineer

full-timePosted: Aug 3, 2026Updated: Sep 2, 2026United States of America, New York, New York

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 Software Engineering position at the Director level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.We're seeking someone to join our FICFX team. Technology enables resilient, high-performance trading platforms. Teams operate globally, owning systems end-to-end with strong focus on innovation and engineering excellence What you’ll do in the role:Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.Working across SAP ASE, SAP IQ, MS SQL Server, and PostgreSQL environmentsDesigning and optimizing schemas, queries, and database structuresPerforming deep performance analysis and root cause troubleshootingBuilding and maintaining automation using Python, Perl, and ShellSupporting real-time and batch data pipelines, ETL, and replicationEnhancing monitoring, data capture, and operational toolingWhat you’ll bring to the role:Strong SQLExperience with mission-critical real-time systemsStrong troubleshooting and analytical skillsStrong communication skillsAbility to manage tasks and deliverables effectively4+ years of related experienceDesired Skills:Strong SAP ASE and/or SAP IQStrong Python, Perl, and Shell scriptingStrong Linux/Unix administration and shell scripting skillsExperience with database performance tuningWorking knowledge of Fixed Income products or trading systemsExposure to AI/ML tools for performance analysis WHAT YOU CAN EXPECT FROM MORGAN STANLEY: 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 alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.Expected base pay rates for the role will be between $120,000 and $170,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Locations

  • United States of America, New York, New York

Skills Required

  • mission-critical real-time systemsintermediate
  • database performance tuningintermediate
  • Fixed Income productsintermediate

Required Qualifications

  • Strong SQL (experience)
  • Experience with mission-critical real-time systems (experience)
  • Strong troubleshooting and analytical skills (experience)
  • Strong communication skills (experience)
  • Ability to manage tasks and deliverables effectively (experience)
  • 4+ years of related experience (experience, 4 years)
  • Experience with mission-critical real-time systems (experience)
  • Strong troubleshooting and analytical skills (experience)
  • Strong communication skills (experience)
  • Ability to manage tasks and deliverables effectively (experience)
  • 4+ years of related experience (experience, 4 years)
  • Strong SAP ASE and/or SAP IQ (experience)
  • Strong Python, Perl, and Shell scripting (experience)
  • Strong Linux/Unix administration and shell scripting skills (experience)
  • Experience with database performance tuning (experience)
  • Working knowledge of Fixed Income products or trading systems (experience)
  • Exposure to AI/ML tools for performance analysis (experience)
  • Strong SAP ASE and/or SAP IQ (experience)
  • Strong Python, Perl, and Shell scripting (experience)
  • Experience with database performance tuning (experience)
  • Working knowledge of Fixed Income products or trading systems (experience)
  • Exposure to AI/ML tools for performance analysis (experience)

Responsibilities

  • Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.
  • Working across SAP ASE, SAP IQ, MS SQL Server, and PostgreSQL environments
  • Designing and optimizing schemas, queries, and database structures
  • Performing deep performance analysis and root cause troubleshooting
  • Building and maintaining automation using Python, Perl, and Shell
  • Supporting real-time and batch data pipelines, ETL, and replication
  • Enhancing monitoring, data capture, and operational tooling
  • Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.
  • Working across SAP ASE, SAP IQ, MS SQL Server, and PostgreSQL environments
  • Designing and optimizing schemas, queries, and database structures
  • Performing deep performance analysis and root cause troubleshooting
  • Building and maintaining automation using Python, Perl, and Shell
  • Supporting real-time and batch data pipelines, ETL, and replication
  • Enhancing monitoring, data capture, and operational tooling

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