Data Engineer

• Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms.
• Design, develop, and maintain robust data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources.
• Build and optimize data architectures and models to support analytics, reporting, and operational needs.
• Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git.
• Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions), and containerization (Docker, Kubernetes).
• Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.
• Ensure data quality, integrity, and security through rigorous validation, monitoring, and logging (e.g., Splunk, CloudWatch, Kibana).
• Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption.
• Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.
• Document data flows, processes, and technical solutions for knowledge sharing and compliance.
• Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps.

Data Engineer

Principal Data Engineer – ML Platforms

Senior Data Architect

Senior Data Engineer – Financial Transactions, Automation

Staff Data Engineer