Top SQL Developer Jobs

Design, build, test, and maintain cloud-based data pipelines using Azure, Databricks, Cosmos DB, Delta Lake, and Spark. Develop ETL frameworks, data quality validations, data warehousing solutions, and high-throughput libraries. Troubleshoot pipelines and DevOps deployments, analyze semi-structured data, and contribute across the software development lifecycle within an agile team. The role requires onsite work four days weekly and supports financial-industry products.

Develop and maintain PeopleSoft Financials and Supply Chain Management solutions using PeopleTools, integrations, reporting tools, and SQL. Troubleshoot technical and functional issues, support upgrades, patches, batch processing, migrations, performance tuning, and production incidents. Coordinate Oracle maintenance, security updates, releases, and database access. Collaborate with business analysts, state agencies, vendors, and Workday teams while tracking projects, documentation, incidents, and deployments.

As a Senior Industrial Engineer, you will analyze processes, implement labor standards, train staff, and support productivity improvements across distribution centers, involving 75% travel.

Senior Quality Engineer responsible for test strategy, planning, and execution across Mainframe, Java, API, and SQL. Tasks include BlueZone mainframe validation, API/Cucumber testing, defect management, data validation, Jira Kanban process management, stakeholder reporting, and cross-team Agile collaboration to ensure product quality and continuous improvement.

The Associate Scientist supports laboratory automation and compound management workflows, including high-volume screening preparation, automated liquid handling, sample storage and retrieval, LIMS-based tracking, data governance, chemical handling, and troubleshooting. The role collaborates with scientists and engineers, coordinates laboratory activities, maintains safety and audit-ready documentation, and ensures accurate sample data and inventory management.

Process journal entries and reconciliations for state agencies, research statutes and issue memos, support monthly revenue reconciliations and federal reports, provide agency accounting support, perform payroll corrections, develop training documentation, and respond to service desk cases.

Lead a team of engineers to design and implement data solutions using cloud technologies, optimizing data pipelines and collaborating with Agile teams to deliver impactful data-driven products.

Support implementation and customization of CRM and Order Management systems (ServiceNow, MS Dynamics, SAP S4). Analyze requirements, develop RICE objects, configure integrations, troubleshoot application issues, support production custom development, and produce functional design documents using SDLC with SAFe Agile.

Lead design and implementation of scalable integrations between AppZen and Oracle Financials (AP). Act as Oracle AP subject matter expert, perform hands-on Oracle configuration, collaborate with product and engineering, guide customers through design/testing/deployment, and ensure enterprise-grade architecture and regression testing strategies.

Design, architect, and implement Oracle ERP financial applications and enterprise solutions. Provide technical leadership, analyze complex requirements, define architecture and long-term strategies, guide engineering teams, integrate EBS with other systems, and support Agile adoption while mentoring team members.

Lead design, develop, and deliver secure, high-quality software for wholesale credit risk. Author and review production code, drive AI-assisted engineering practices, automate remediation, improve resiliency, and evaluate vendor/architecture suitability.

Lead Data Engineer designs, builds, tests, and supports cloud-based data platforms for marketing and messaging. Collaborates across Agile teams to deliver scalable, real-time data and ML-enabled solutions using distributed systems, data warehousing, ETL, and streaming technologies. Mentors engineers and participates in code reviews and performance tuning.

The Data Scientist will work on data analysis, visualization, and reporting, utilizing various tools to assist stakeholders' needs.

Design, build, and maintain automated test suites and a scalable automation framework for REST APIs and web UIs. Implement Python/Pytest automation, containerized execution (Docker/Podman), CI/CD integration (Jenkins/GitLab), Robot Framework/Selenium UI tests, SQL-based validations, and troubleshoot CI/test instability. Support government Test & Evaluation planning, documentation, data collection, analysis, and coordinate with stakeholders. Must hold appropriate security clearance and US citizenship.

Design, build, and maintain automated test solutions for REST APIs and web UIs. Develop Python/Pytest frameworks, containerized test execution (Docker/Podman), integrate tests into Jenkins/GitLab CI, improve test reliability, perform T&E planning and analysis, write SQL validations, and lead migration from legacy Robot Framework implementations.

Lead design, implementation, and optimization of Oracle database environments. Ensure availability, security, backups, and disaster recovery. Collaborate with developers, troubleshoot complex integrations, perform performance tuning, and support mission-critical operations including on-call rotations and upgrades.

Define, design, build, and maintain data and analytics architecture and strategy for the IAPI Manufacturing Site. Lead data modeling, lifecycle design, and enterprise data domains; enable self-service analytics; partner to deploy advanced analytics; scan technology trends and synthesize scalable data integration approaches. Set strategy and direction for Tech@Lilly.

Lead technical design and delivery of collections modernization features. Hands-on develop and review Java/Spring Boot microservices, integrate Kafka and Oracle/SQL, mentor engineers, resolve complex problems, and collaborate with stakeholders from planning through implementation in an in-office team.

Lead ML Engineer responsible for designing, building, deploying, and maintaining production ML systems and data pipelines at scale. Collaborate with product and data science teams, ensure model governance, monitoring, CI/CD, and leverage cloud-based architectures to deliver performant, explainable ML solutions.

Develop and maintain PL/SQL packages, procedures, functions, and queries to support VDOT RNS/GIS systems. Convert and load initial data sets, produce reports, handle production-support tickets, implement transactional editing and archival/synchronization, populate denormalized reporting DBs, generate edit lists for manual associations, and participate in code reviews using TFS.

Lead PLM Windchill architecture and adoption to optimize CAD/PLM workflows, implement system upgrades, capture business requirements, deliver global training, design processes and integrations, mentor team members, and drive engineering productivity and global PLM rollouts.

The role involves working as a Senior Business System Analyst specializing in Oracle HCM Cloud, project management, and data extraction using SQL. Responsibilities include troubleshooting issues and conducting testing.

Participate in requirements gathering and validate ETL scripts with BAs, developers, and DW engineers. Create, execute, and debug SQL to test data completeness, correctness, transformations, and data quality. Prepare and maintain test cases, scripts, and artifacts; log and track defects to closure. Mentor/lead other data warehouse testers.

Lead ETL testing efforts: gather requirements, validate ETL scripts, create/execute/debug SQL for data completeness and quality, prepare and run test cases, maintain test artifacts, log/track defects, and mentor data warehouse testers.

The Database Engineer Level 2 will manage database administration and design, specifically working with relational and non-relational databases. Required to develop requirements and maintain databases, utilizing SQL and various database tools.