Note: The job is a remote job and is open to candidates in USA. CINC Systems is the leading provider of accounting and management software for the community association management industry. They are seeking a Principal Data Engineer to lead and build a high performing data engineering team responsible for core data infrastructure within the CINC platform.
Responsibilities
- Lead the technical direction of a data engineering team in partnership with product and platform leaders
- Design and build scalable, event driven data pipelines and platform services
- Architect data models and infrastructure that support analytics, operational systems, and AI applications
- Work closely with AI engineers and application teams to ensure data is structured for intelligent applications
- Mentor engineers and raise the overall standard for data engineering craftsmanship
- Contribute to architectural patterns and engineering practices across the organization
Skills
- 12 or more years of experience in data engineering or backend software engineering
- Deep expertise designing large scale data pipelines and distributed data systems
- Advanced SQL skills and strong programming ability in languages such as Python
- Experience building event driven data architectures using modern cloud services (AWS preferred)
- Strong knowledge of relational and analytical data platforms
- Experience designing data models and data contracts for microservices architectures
- Familiarity with streaming architectures and real time data pipelines
- Solid Software Engineering fundamentals including API design, microservices, and system integration patterns (e.g. service mesh, api gateway, event-driven)
- Practical experience with cloud-native environments (AWS, GCP, or equivalent), including serverless compute and containerized deployments
- Demonstrated ability to lead through influence, setting direction and raising standards for quality and maintainability
- Skilled in communicating complex trade-offs and design decisions clearly to both technical and non-technical audiences
- Experience leading other highly-skilled engineers and contributing to architectural strategy
- Strong sense of ownership, curiosity, and ability to deliver in a fast-moving, global environment
- Strategic thinker capable of evaluating build versus buy decisions with long-term organizational impact in mind
- Experience supporting AI enabled products by building reliable training and inference data pipelines
- Familiarity with vector databases, embeddings, and retrieval systems used in modern AI architectures
- Understanding of how data quality, lineage, and architecture affect AI outcomes and product experiences
- Builder's mindset with comfort in ambiguity and a focus on delivering outcomes
- Clear communicator who can bridge technical and product conversations with credibility and empathy
- Learning-first attitude with curiosity about emerging models, frameworks, and best practices
- Values craftsmanship and continuous improvement in code quality, performance, and user experience
- Believes in collaboration, knowledge sharing, and elevating others through mentorship
Company Overview
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