Principle Software Engineer, BI & Data Platform

Join Calabrio-Verint and be part of a dynamic team reshaping the landscape of customer experience. The role requires deep expertise in AWS, data management, full-stack development capabilities, and a proven track record of building enterprise-scale analytics solutions.

Requirements

• 10+ years of professional experience in software development, with at least 5 years focused on data engineering, business intelligence, or analytics platforms in enterprise SaaS environments
• Deep expertise in AWS data and analytics services including Athena, Redshift, Glue, S3, QuickSight, Lake Formation, with hands-on experience architecting and operating production workloads
• Advanced proficiency in Python for data processing, ETL/ELT development, and backend services, with strong knowledge of frameworks such as FastAPI, Flask, or similar
• Expert-level SQL skills including complex query optimization, window functions, CTEs, and performance tuning across multiple database engines (Redshift, PostgreSQL, Athena)
• Strong full-stack development capabilities with proficiency in React, JavaScript/TypeScript, and modern front-end frameworks for building analytics dashboards and data visualization interfaces
• Proven experience with Apache Iceberg, Parquet, or similar columnar formats and modern data lake architectures
• Deep understanding of data modeling techniques for both OLTP and OLAP workloads, including dimensional modeling, star/snowflake schemas, and denormalization strategies
• Strong, in-depth experience with AI coding assistants such as GitHub Copilot, Cursor, and Windsurf to accelerate development and improve code quality
• Experience with both relational databases (Redshift, PostgreSQL, Aurora) and non-relational databases (DynamoDB, OpenSearch, DocumentDB)
• Demonstrated ability to design and implement scalable REST APIs, event-driven architectures (Lamda, EventBridge, SQS, SNS), and microservices patterns
• Experience with AWS CDK (Cloud Development Kit) or CloudFormation/Terraform for infrastructure-as-code and automated deployment pipelines
• Strong background in data pipeline orchestration using AWS Step Functions, Glue workflows, or similar tools
• Proven track record of leading technical initiatives, mentoring senior engineers, and driving architectural decisions in complex distributed systems
• Experience with CI/CD pipelines, automated testing frameworks (pytest, Playwright), and DevOps practices for data platforms

Benefits

• Medical and dental insurance
• Disability and life insurance
• Flexible PTO
• Paid holidays and parental leave