SQL Server DBA - Data Engineer III - Neovest

JPMorgan Chase & Co.; Pleasant Grove (UT); On-site; USD 120,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Data Engineer III within Neovest to design, implement, and maintain secure, scalable SQL Server platforms across on‑premises, Azure VM, and GCP.

You will optimize data pipelines, ensure high availability, and lead incident responses while leveraging AI capabilities to improve design validation and reporting. The role requires strong T-SQL skills, enterprise SQL Server experience, and proficiency with Git workflows.

Qualifications

• 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.

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, ensuring traceability/auditability and alignment to resiliency and security expectations.

Skills

SQL Server

Always On

T-SQL

NoSQL

Git

Incident response

Documentation

AI capabilities

Data pipelines

Education

Bachelors degree

Tools

Azure

GCP

SQL Server

PowerShell

Job description

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.