Full Stack Data Engineer

Description Hybrid Onsite Every Other Week in Westlake, TX This role focuses on designing, developing, and maintaining backend data services and RESTful APIs that power enterprise-scale platforms. The engineer will build secure, scalable services, enable data integration, and support cloud-based deployments using AWS. The position blends data engineering and API development with emphasis on performance tuning, CI/CD automation, reliability, and production support. The work advances data-driven capabilities such as personalization and analytics for our client. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $64.00 to $70.00/hr. w2 Responsibilities • Design, develop, and maintain RESTful APIs for enterprise platforms. • Build and enhance backend services using Java frameworks such as Spring Boot. • Develop, debug, and tune complex SQL and PL/SQL for data processing and integration. • Design and support ETL pipelines, including Python-based data processing. • Implement secure, scalable, and cloud-native solutions on AWS. • Develop and maintain CI/CD pipelines and automation using tools such as Jenkins, Docker, and Kubernetes. • Create and maintain unit and automated tests using frameworks such as JUnit and Cucumber. • Monitor applications and troubleshoot issues across development, testing, and production environments. • Perform performance tuning and contribute to system reliability and observability. • Collaborate in a DevOps environment and support data-driven capabilities including personalization and analytics. Experience Requirements • Bachelor’s degree with 5+ years of experience, or Master’s degree with 3+ years of experience in computer science or a related field. • Strong experience designing and developing RESTful APIs. • Hands-on backend service development with Java frameworks such as Spring Boot. • Solid experience with SQL and relational databases. • Experience developing, debugging, and tuning complex SQL and PL/SQL. • Data engineering experience supporting ETL pipelines. • Proficiency with Python for ETL and data processing. • Experience with AWS cloud development, deployment, and application management. • Familiarity with CI/CD pipelines and automation tools such as Jenkins, Docker, and Kubernetes. • Strong experience with unit testing and test automation frameworks such as JUnit and Cucumber. • Experience with validation, monitoring, and issue resolution across environments including production. • Effective written and verbal communication skills. • Ability to work effectively in fast-paced, ambiguous environments. • Kafka (preferred). • Experience in large federated data environments (preferred). Education Requirements • Bachelor’s degree in computer science or a related field, or Master’s degree in computer science or a related field. • AWS certification (preferred).