Senior Business Analyst

Data Engineer

Hybrid – Hartford, CT

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes for structured and unstructured data
• Build and optimize cloud-based data architectures, data lakes, and data warehouses (preference for GCP)
• Ingest data from diverse sources including APIs, databases, streaming platforms, and third-party systems
• Ensure data quality, reliability, performance, and scalability across data platforms
• Optimize data models for analytics, reporting, and machine learning use cases
• Collaborate with analytics, data science, and AI teams to support feature engineering and model deployment
• Implement monitoring, logging, and alerting to ensure pipeline health and performance
• Apply best practices for security, data governance, privacy, and access controls
• Document data pipelines, schemas, and architectural decisions to promote transparency and reusability
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent experience)
• Strong programming experience in SQL and at least one of Python, Java, or Scala
• Experience designing and building data pipelines and data platforms in a cloud environment
• Solid understanding of data warehousing concepts, dimensional modeling, and data optimization
• Experience working with large datasets and distributed data processing frameworks
• Familiarity with CI/CD, version control (Git), and infrastructure-as-code concepts