Data Engineer (Python, Java, SQL, PL/SQL)

CPS Engineering is looking for a highly motivated Data Engineer to join our team and contribute to the evolution of key CPS platforms, including SMP, DV and DSR The successful candidate will play a critical role in designing, developing, supporting, and modernizing data and application solutions that are essential to business operations and product delivery. This role requires a strong engineering mindset with expertise in data processing, software development, platform reliability, and operational excellence. The engineer will work within a SAFe Agile environment, contribute to strategic modernization initiatives, mentor junior engineers, and help drive improvements in security, data quality, observability, scalability, and performance across our platforms. Key Responsibilities Product Development & Delivery • Deliver high-quality software and data engineering solutions aligned with business requirements and product roadmaps. • Participate actively in SAFe Agile ceremonies including PI Planning, Sprint Planning, Reviews, and Retrospectives. • Design, develop, test, and deploy scalable applications and data processing solutions. • Contribute to the full Software Development Life Cycle (SDLC), from requirements analysis through production deployment. Data Quality & Security • Champion data quality initiatives across CPS platforms. • Ensure adherence to security standards, secure coding practices, and compliance requirements. • Drive continuous improvement of platform reliability and quality metrics. • Support and improve Quality Management Reviews (QMR) through proactive monitoring and issue Platform Reliability & Operations • Provide L3 production support and lead root cause analysis for critical incidents. • Improve platform observability through enhanced monitoring, alerting, and logging capabilities. • Identify and implement performance optimization opportunities across applications and databases. • Drive scalability improvements to support increasing business and data processing demands. Engineering Excellence • Build and maintain CI/CD pipelines to enable efficient and reliable software delivery. • Promote engineering best practices including code reviews, automated testing, and DevOps principles. • Contribute to platform modernization initiatives and technical debt reduction. • Leverage modern engineering practices and emerging technologies, including Agentic AI, to improve productivity, automation, operational efficiency, and software quality. Team Collaboration & Mentoring • Mentor and support junior engineers through knowledge sharing, technical guidance, and code reviews. • Collaborate closely with Product Managers, Architects, Business Analysts, and Engineering teams. • Contribute to technical discussions, design reviews, and architecture decisions.

Required Qualifications • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. • 5+ years of experience in Data Engineering, Software Engineering, or Backend Development. • Strong experience developing enterprise-grade applications and data processing solutions. • Proven ability to troubleshoot complex production issues and drive resolution. • Experience working in Agile and SAFe development environments. • Strong analytical, problem-solving, and communication skills. • Experience mentoring junior engineers and contributing to team growth. Technical Skills Programming & Development • Python • Java • SQL • PL/SQL Data Engineering & Databases • Data Modeling • Data Quality Management • Performance Tuning • ETL/ELT Processes • Relational Databases DevOps & CI/CD • GitHub • GitHub Actions • CI/CD Pipelines • Automated Testing Quality & Security • Zephyr Test Management • Cycode • Secure Development Practices • Vulnerability Remediation Platform Engineering • Observability & Monitoring • Scalability & Performance Engineering • Production Support (L3) • Reliability Engineering

Our Benefits Flexible working environment Volunteer time