Data Engineer

Job Description

We are a high-velocity team. You are expected to leverage AI tools to accelerate development, analysis, and problem-solving.

How You Will Make an Impact:

• Build and maintain reliable data pipelines
  • Design and operate ETL / ELT pipelines that process high-volume transaction data
  • Ensure data is delivered accurately and on time across all downstream systems
• Ensure database performance and reliability
  • Manage and optimize databases for performance, scalability, and uptime
  • Prevent bottlenecks and ensure systems can handle production load
• Enforce data contracts and schema consistency
  • Define and enforce schemas across services and pipelines
  • Ensure event integrity and prevent breaking changes across systems
• Improve data reliability and observability
  • Implement monitoring, alerting, and logging across data systems
  • Detect and resolve data issues before they impact the business
• Enable event traceability and consistency
  • Ensure events can be traced end-to-end across systems
  • Support debugging and root cause analysis for data discrepancies
• Raise the bar on engineering velocity
  • Leverage AI tools like OpenAI Codex, Cursor, and Claude (or equivalent) to accelerate development and debugging
  • Improve speed of delivery without compromising reliability

Skills you will have fine-tuned:

• Designing and operating production-grade data pipelines
  • Building scalable ETL / ELT systems for high-throughput event data
  • Managing dependencies, failures, and recovery strategies
• Database performance and system reliability
  • Tuning databases for performance and cost efficiency
  • Designing systems that remain stable under load
• Schema design and data contract enforcement
  • Creating robust schemas that evolve safely over time
  • Preventing downstream breakages through strong contract discipline
• Data observability and incident response
  • Implementing monitoring systems that surface issues early
  • Debugging complex, distributed data failures
• Event-driven architecture and data consistency
  • Ensuring consistency across distributed systems
  • Building traceability into event flows for auditability and debugging
• AI-accelerated engineering workflows
  • Using AI tools to generate, review, and optimize pipeline code
  • Improving debugging speed and system understanding with AI assistance
  • Continuously refining how AI is used to increase output and code quality
• You appreciate working with managed services and serverless architecture
• You naturally pay attention to detail
• You are eager to bring your unique talents and authenticity to the CellPoint Digital community
• You’re constantly curious and a lifelong learner
• You approach challenges with a solution-oriented mindset

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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