Key skills

JavaOracleApplication DevelopmentData EngineeringSpring BootData Pipeline DevelopmentETL/ELT ProcessesData ArchitectureData IntegrationEnterprise Application DevelopmentDigital BankingAgile MethodologiesDevOpsClient CommunicationStakeholder ManagementAIClaudeAnthropicETLELTAnalyticsSpringAgileLeadershipCommunication

About this role

Akkodis is seeking a Data Engineer for a contract role supporting a client in St. Petersburg, Florida. The role focuses on designing scalable data solutions, developing ETL/ELT pipelines, building Java and Oracle applications, and ensuring data quality and architecture reliability. The engineer will also collaborate with cross-functional teams, solve complex data challenges, and provide technical leadership and mentorship.

Responsibilities:

Design, develop, and maintain scalable data solutions that support enterprise data generation, collection, processing, and analytics initiatives
Develop and optimize ETL/ELT pipelines to migrate, transform, and deploy data across multiple platforms and systems
Build and support applications using Java, Oracle, and Spring Boot technologies
Design and maintain robust data architectures that support evolving business needs and enterprise growth
Ensure data quality, reliability, integrity, and performance through effective engineering and governance practices
Collaborate with cross-functional teams to integrate new data sources, technologies, and business requirements
Analyze complex data challenges and implement innovative solutions to improve operational efficiency and business outcomes
Provide technical leadership, mentorship, and support to team members while contributing to key technical decisions

Requirements:

Bachelor's Degree in Computer Science or a related technical field
5+ years of experience with:
- Java Development
- Oracle Technologies
- Application Development
Strong expertise in:
- Data Engineering
- Spring Boot
- Data Pipeline Development
- ETL/ELT Processes
- Data Architecture
- Data Integration
- Enterprise Application Development
Experience designing and supporting enterprise-scale data and application solutions
Strong analytical, troubleshooting, and problem-solving abilities
Experience with Anthropic Claude Code or AI-assisted development tools
Strong client communication and stakeholder management skills
Knowledge of Digital Banking platforms and financial services operations
Experience with cloud-based data architectures and modern engineering practices
Familiarity with Agile methodologies and DevOps principles