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As a Staff Software Engineer at DAT, you will lead technical initiatives, mentor fellow engineers, and develop full-stack features. Your role involves building APIs, integrating with third-party partners, migrating legacy systems to a microservice architecture, and promoting best practices in software development. You will work in an AWS environment and assist with the architectural design and implementation of scalable solutions.

As a Senior Data Engineer at DAT, you will design and maintain scalable data infrastructure in AWS, support evolving data architecture, and implement data engineering patterns. Responsibilities include providing solutions for complex business problems, fostering a culture of learning, and mentoring team members.

As the Site Reliability Engineering Lead at DAT, you'll mentor SRE engineers, lead technical initiatives, respond to critical incidents, and provide guidance on cloud infrastructure, focusing on reliability goals and migrating legacy systems to modern solutions.

The Staff Engineer on the Platform Engineering team will oversee the design and implementation of DevSecOps practices for container and serverless platforms in AWS. This role involves technical leadership, collaborating with Principal Engineers, and delivering cohesive solutions across departments.

As a Staff Data Engineer - Lead at DAT, you will develop and maintain data infrastructure, focusing on reusability and scalability in AWS, implement known patterns in data architecture, and provide solutions to complex business problems to enhance decision-making.

As a Software Development Engineer, you will be responsible for the complete lifecycle of your code, from development and testing to deployment and maintenance. You will collaborate with team members, perform code reviews, and contribute to the design and implementation of cloud-native solutions on AWS, while ensuring code quality and documentation.

The Data Science Manager at DAT will oversee both data science research and machine learning engineering teams, ensuring alignment with business goals and managing the implementation of production-ready ML models. Responsibilities include strategic leadership, model management, infrastructure maintenance, cross-team collaboration, and project management.