Capital Technology Group, LLC

Data Engineer

• Design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices
• Evaluate and prototype new tools and technologies, assessing their risks and benefits
• Build and maintain scalable data pipelines and models using Databricks, dbt, and SQL (PostgreSQL)
• Develop robust data solutions leveraging AWS services (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch)
• Implement data transformations and integrations using Python and Java
• Ensure reliability, performance, and maintainability of end-to-end data systems
• Implement infrastructure-as-code using Terraform for managing cloud resources
• Monitor and optimize system health and performance using CloudWatch and Splunk
• Mentor junior engineers and code reviews
• Clearly communicate technical topics to both technical and non-technical audiences
• Collaborate with cross-functional stakeholders to define data requirements and deliver solutions in agile environments

Senior Data Engineer

SDET

• Implement quality assurance techniques and tools
• Reviews code and product throughout the software development lifecycle
• Ensure defects are identified, recorded, and properly triaged
• Responsible for working with stakeholders to drive quality throughout the entire SDLC process by ensuring that all code meets quality standards, all code is built and tested in non-production environments before promotion to Production environments and that testing is automated so that every commit is tested without intervention.
• Responsible for collaborating with other QE's to handle cross-team testing dependencies

Senior Data Engineer

Quality/Test Engineer