Data Engineer (Python, Java, SQL, PL/SQL)
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Job Description
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.
Requirements
Function: General Business
Experience Level: Mid-Senior Level