Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
 

As a Data Engineer III at JPMorganChase within Neovest, you are a seasoned member of an agile team responsible for designing and delivering trusted solutions for data collection, storage, access, and analytics in a secure, stable, and scalable manner. You will engineer and administer secure, scalable, and highly available database platforms, while supporting critical data pipelines and reporting systems.

 Job Responsibilities

• Serve as the platform administrator for PMS SQL Server databases in both production and non-production environments.
• Design, maintain, and enhance platform architectures for on-premises, Azure VM, and Google Cloud Platform (GCP) SQL Server instances.
• Establish and enforce standards for database availability, performance, security, patching, and lifecycle management.
• Install, configure, patch, and maintain SQL Server instances in on-premises and cloud environments.
• Manage performance tuning, indexing, replication, encryption, and secure configuration standards.
• Oversee high-availability and disaster recovery solutions, including Always On and clustering.
• Implement and maintain database monitoring, capacity planning, cost optimization, and scaling strategies.
• Administer backup and restore processes using SQL Server tools, PowerShell, and automation frameworks.
• Provision, configure, and support GCP database services.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
• Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations.

Required qualifications, capabilities, and skills

• Experience in Microsoft SQL Server engineering and administration.
• Strong knowledge of Always On Availability Groups, Windows Server Failover Clustering, backup/restore, and performance tuning.
• Advanced T-SQL skills, including troubleshooting complex scenarios.
• Experience managing large fleets of production databases across multiple customer environments.
• Proficiency with Git-based source control and database change workflows.
• Ability to lead production incident response and conduct postmortem analysis.
• Strong documentation and communication skills.
• Working knowledge of NoSQL databases.
• Experience with statistical data analysis and selecting appropriate tools and methods.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.

Preferred qualifications, capabilities, and skills

• Experience supporting portfolio management, trading, or financial systems.
• Background in database DevOps, CI/CD pipeline design, and release governance.
• Familiarity with Azure and GCP SQL Server VM operations.
• Experience defining platform programs, charters, KPIs, and operational metrics.
• Bachelor’s degree in Computer Science, Information Systems, or related field.
• Experience with report development using SQL Server Reporting Services, Excel, or Metabase.
• Experience collaborating with stakeholders to translate reporting requirements into technical specifications.