Senior Software Engineer, Data

As a Software Engineer on Aetion's Data Analytics & Modeling team, you will develop the core infrastructure that underpins the business logic of the system. You will contribute to system architecture discussions and help with strategy and execution to improve the core analytical backend of Aetion's platform. You will work closely with product managers and scientists to provide insight on technology advancements for the platform's analytical capabilities, ensuring usability, scalability, reliability, and availability are at the forefront of strategic conversations. Basic qualifications include a Bachelor's Degree in Computer Science, Engineering or related field, or equivalent experience, and 7+ years of experience writing production-level code in Java, Scala, Python, SQL, or R.

• Develop and document software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes; investigating problem areas; and following the software development lifecycle.
• Contribute to the strategic development and execution of the core analytical backend of Aetion’s platform.
• Provide insights on technology advancements for the platform’s analytical capabilities by ensuring scalability, reliability, and availability.
• Work with other software engineers and tech leads to define software architecture and prototype software stack.
• Assist in the development of relevant features and processes to ensure that statistical programs are properly documented and implemented on Aetion's platform according to generally recognized industry and regulatory standards.
• Ensure continued functionality of a program during maintenance and testing of software.
• Document each aspect of a system or application as a reference for future upgrades and maintenance.

• Bachelor's Degree in Computer Science, Engineering or related field, or equivalent experience.
• 7+ years of experience writing production-level code in Java, Scala, Python, SQL, or R.
• Ability to demonstrate understanding of system design, data structures, and algorithms. Ability to clearly communicate and reason about complex systems both orally and in written form.
• Ability to prioritize, communicate well, design for repeatability and scalability, exude ownership, and dig beneath the hood with technology.
• Enthusiastic about working in collaborative team environments to find creative solutions for challenging engineering problems.