Data Engineer

• Design, develop, and maintain scalable data pipelines and ETL processes using Python and AWS services
• Build and deploy serverless functions using AWS Lambda for data processing and automation
• Implement data integration solutions connecting diverse source systems to analytics platforms
• Mentor junior data engineers through pair programming, code reviews, and technical coaching
• Collaborate with data analysts and business stakeholders to understand requirements and deliver solutions
• Optimize data pipeline performance, reliability, and cost efficiency in AWS environments
• Develop and maintain comprehensive documentation for data systems and processes
• Participate in on-call rotation to support production data infrastructure
• Contribute to the establishment of team coding standards and engineering best practices
• Work with Git for version control and participate in collaborative development workflows

Senior Data Engineer

• Lead the design and implementation of enterprise-scale data pipelines and ETL processes in AWS environments
• Provide technical leadership and architectural guidance to cross-functional engineering teams
• Drive best practices for data modeling, pipeline optimization, and cloud infrastructure design
• Architect and implement solutions using Python, AWS Lambda, and modern data engineering frameworks
• Oversee code quality, conduct architectural reviews, and establish engineering standards
• Collaborate with stakeholders to translate complex business requirements into technical solutions
• Mentor and develop junior and senior engineers through code reviews and technical guidance
• Troubleshoot and resolve complex data engineering challenges across the technology stack
• Stay current with emerging technologies and recommend innovative approaches to data challenges

Lead Data Engineer

• Develop a data transformation and workflow solution for an impactful part of the U.S. Army.
• Deploy and operate a replacement for a legacy financial system to the cloud.
• Innovate new cloud-first solutions for the U.S. Army’s data management ecosystem.
• Responsible for the data pipeline cloud components, security, governance, and overall successful delivery of working software.
• Work with multiple teams on problems that require architectural thinking and programming skills to design the system.