Top SQL Developer Jobs

Develop and optimize enterprise Oracle database solutions for high-volume transactional and analytical systems. Responsibilities include advanced PL/SQL and SQL development, schema and performance optimization, ETL and database integrations, batch processing, security, migration automation, troubleshooting, and production support. The role collaborates with engineering, architecture, QA, and business teams while supporting cloud modernization initiatives involving OCI, Azure, and AWS.

Designs, develops, tests, operates, and maintains production software. The role involves full-stack ownership, scalable architecture, code reviews, failure analysis, reliability engineering, security and compliance, DevOps, automated testing, defect resolution, and Agile collaboration. Candidates will use Java and Spring Boot, with preferred experience in Linux, SQL, Shell Scripting, GitLab, containers, cloud, CI/CD, service virtualization, and test data management.

Designs enterprise application architecture, develops complex software and reusable components, and leads system modernization initiatives. Builds and optimizes Oracle databases, data warehouses, operational data stores, and Informatica ETL solutions. Creates Tableau analytics, performs performance tuning, resolves complex cross-application issues, manages project plans and risks, advises senior management, coordinates technical initiatives, and mentors junior engineers.

Builds, modernizes, maintains, and deploys enterprise APIs, database layers, cloud-native applications, and event-driven systems. Designs architectures and data models, migrates applications to AWS, develops monitoring and CI/CD solutions, and creates Oracle PL/SQL procedures. Coordinates offshore teams, mentors engineers, supports QA and testing, manages project plans, advises on technical strategy, and delivers scalable software solutions within a financial services environment.

Develop and maintain Oracle databases, applications, and systems using SQL, PL/SQL, Oracle Forms, and Oracle Reports. Responsibilities include database performance optimization, stored procedure and trigger development, manual and automated testing, defect resolution, troubleshooting, security policy implementation, code reviews, and technical support for business users. Collaborate with product developers to deliver reliable, high-quality Oracle solutions and stay current with emerging technologies.

Develop, test, debug, and enhance software solutions for a federal customer. Integrate design requirements, resolve compatibility issues, research emerging technologies, produce technical documentation, troubleshoot applications, and prepare analytical progress reports.

Develop and maintain Oracle 19c database applications using PL/SQL. Responsibilities include query performance tuning, database optimization, data architecture, migration, transformation, reporting, automation, and cross-functional Agile delivery. The role also uses JIRA or Azure DevOps and focuses on improving database performance and operational efficiency.

Develops, tests, maintains, and deploys SQL-based data engineering solutions in AWS. Supports database and systems design, high-volume financial data ingestion, ETL processes, data quality checks, code reviews, cloud deployments, requirements gathering, and Agile delivery for mission-critical CFTC systems.

Develop and optimize Oracle APEX, SQL, and PL/SQL solutions within PeopleSoft environments. Responsibilities include coding, database performance tuning, troubleshooting, configuration, testing, deployment, requirements gathering, technical solution design, user adoption coaching, documentation, and serving as the PeopleSoft APEX subject matter expert. The role requires collaboration with functional and technical teams and support for upgrades, integrations, and complex customizations.

Supports the SAS Viya AML production platform by investigating incidents, troubleshooting applications and ETL pipelines, writing SQL, managing Linux virtual machines and PostgreSQL on Azure, overseeing releases, and conducting disaster recovery tests. The role also requires stakeholder collaboration, clear communication, ITIL-based incident and change management, and ongoing awareness of banking technologies and regulations.

Develop and support enterprise application integrations, SQL Server databases, SSIS ETL processes, Power BI reports, REST APIs, and data migration solutions. Troubleshoot production integration, reporting, and data-quality issues; collaborate with stakeholders on technical requirements; and support documentation, deployment, and release activities. The role is remote and requires strong SQL, systems integration, business intelligence, and data-integration experience.

Leads the design and implementation of Python-based test automation for data quality, ETL/ELT validation, data migrations, file integrations, database validation, and large-scale data testing. Builds reusable frameworks, validates data across Snowflake, SQL Server, and Oracle, mentors QA engineers, integrates testing into CI/CD, and partners with engineering, product, and business stakeholders.

Leads secure software engineering within identity and access management, designing, developing, testing, debugging, and operating scalable production systems. Builds cybersecurity and regulatory-control solutions using C#, Python, Rust, SQL, Kafka, and cloud platforms. Drives secure AI-assisted development practices, automation, resiliency, CI/CD, and responsible AI adoption. Reviews architecture and evaluates vendors while mentoring teams and improving application stability in a financial services environment.

Develop and maintain SQL Server databases, ETL processes, SSIS packages, SSRS reports, stored procedures, and database applications. Analyze large datasets, perform statistical analysis, create technical documentation, conduct testing, resolve implementation issues, and support business requirements. Collaborate with analysts and project teams in an onsite environment while managing multiple priorities and following Agile and Scrum practices.

Designs and develops SQL Server databases, including tables, views, procedures, functions, triggers, constraints, and secure code. Creates SSRS reports, SSIS packages, SSAS cubes, and data warehouses. Supports application development, database migrations, performance and concurrency issues, and backend requirements gathering.

Develop and maintain database-driven applications using PL/SQL, Oracle, and Microsoft SQL Server. Responsibilities include researching legacy code, creating and modifying PL/SQL packages, performing component testing, reviewing performance requirements, supporting application architecture, and resolving Tier 3 user tickets. The role requires collaboration within Agile development teams and participation in application enhancements, refactoring, and new application design.

Develop SQL-based applications, data integrations, automated workflows, reporting solutions, and file transmissions. Optimize data processes and application performance, troubleshoot complex integration issues, and collaborate with business and technology teams in an Agile environment. The role supports wealth and asset management operations and requires at least 40% onsite work in Baltimore.

Develop and modernize Oracle Forms applications using Oracle APEX and Oracle Database 19c. Responsibilities include PL/SQL and SQL development, database optimization, application security, web-service integration, troubleshooting, testing, performance tuning, documentation, production support, release management, and collaboration within Agile/Scrum teams. The developer will also analyze legacy systems, translate business requirements into technical solutions, provide knowledge transfer, and guide development best practices.

Develop and modernize Oracle Forms applications using Oracle APEX and Oracle Database 19c. Responsibilities include PL/SQL development, SQL optimization, database design, web-service integration, security implementation, troubleshooting, testing, deployment, documentation, production support, and knowledge transfer. The developer will collaborate with project teams in an Agile/Scrum environment and support legacy application migration and modernization.

Designs, builds, and operates scalable cloud data platforms, pipelines, and applications using Python, SQL, Spark, AWS, Databricks, Snowflake, and distributed data technologies. The role includes data modeling, real-time processing, data security, observability, architecture standards, stakeholder communication, mentoring, and collaboration with product, engineering, analytics, and machine learning teams.

Designs, maintains, and optimizes SQL Server databases, ETL/ELT workflows, and enterprise data pipelines supporting a federal multi-cloud analytics platform. Integrates structured and unstructured data using Azure, Databricks, Starburst, and data lakes; troubleshoots failures, tunes performance, applies data-quality and governance controls, and supports analytics, reporting, and machine-learning use cases. Translates business requirements into technical solutions and documents data products, pipelines, and operational procedures.

Lead software engineering efforts for JPMorgan Chase’s Credit Risk Technology organization. Responsibilities include designing, developing, testing, debugging, and maintaining secure production applications; modernizing technology stacks; improving operational stability through automation; evaluating architectures and vendors; reviewing code; and promoting engineering best practices and communities of practice.

Build, deploy, optimize, and maintain production machine learning models and infrastructure. Responsibilities include developing ML applications, designing data pipelines, operating distributed systems and cloud platforms, monitoring and retraining models, automating testing and deployment, and applying responsible AI practices. The role collaborates with Product and Data Science teams to deliver scalable solutions using frameworks such as PyTorch or TensorFlow and platforms including AWS, Kubernetes, Spark, and Ray.

Design, build, deploy, retrain, and monitor production machine learning models and components. Develop scalable ML infrastructure, data pipelines, cloud architectures, and distributed systems using Python and related technologies. Collaborate with Product and Data Science teams, automate testing and deployment, apply CI/CD practices, and ensure model governance, security, responsible AI, and explainability across enterprise platforms.

Design, develop, test, deploy, and maintain enterprise automation solutions using Blue Prism, Power Platform, Alteryx, APIs, SQL, and AI-assisted tools. Build Power Apps and Power Automate workflows, model Dataverse data, develop RPA and analytics automations, and integrate internal and external systems. Provide technical leadership within an agile squad, establish engineering standards and documentation, support production automation assets, and ensure resilience, compliance, audit readiness, and operational stability.