Full Stack Software Engineer, Data & Analytics Engineering

About the position

In this role you will work collaboratively on an agile team to develop and enhance complex systems and/or software from user stories and technical/architectural specifications. You will analyze complex technical system problems and create innovative solutions that exceed customer expectations. This role directly supports the Analytics and Data Science community at Liberty Mutual. This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and foster a positive work environment as we continue our agile transformation journey. You will have the opportunity to help lead this change with us as we grow this culture, mindset and capability.

Responsibilities

• Work in a dynamic and exciting agile environment with Engineers, Scrum Masters, and Product Owners to develop creative full stack data-driven solutions that meet business and technical initiatives
• Improve speed to market by focusing on current Data Science and modeling data needs as well as building out the long-term strategic data solutions using AWS, Java, Python, Lambda, as well as other modern data technologies
• Design and develop programs and tools to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science
• Demonstrate open minded and collaborative approach to creating innovative technical solutions
• Analyze data and technical system problems to design and implement effective, flexible solutions
• Handle end-to-end development, including coding, testing, and debugging during each cycle
• Develop automated tests for multiple scopes (Unit, System, Integration, Regression)
• Mentor new and junior developers
• Identify and recommend appropriate continuous improvement opportunities

Requirements

• Experience building data solutions using AWS, Java, Python, Lambda, React, as well as other modern data technologies
• Bachelor's degree in technical or business discipline or equivalent experience
• Generally, 3+ years of professional experience
• Strong oral and written communication skills; presentation skills
• Proficient in negotiation, facilitation and consensus building skills
• Proficient in new and emerging technologies
• Business function(s) and of business operations
• Design and development tools
• Architectures and technical standards
• Thorough knowledge of layered systems architectures and layered solutions and designs; understanding of shared data engineering concepts
• Proficiency in multiple programming languages and tools
• Understanding of agile data engineering concepts and processes
• Must be proactive and demonstrate initiative and be a logical thinker
• Consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements
• Collaboration, prioritization, and adaptability skills required

Benefits

• Comprehensive benefits and continuous learning opportunities
• Support for a diverse, equitable and inclusive workplace
• Employee Resource Groups (ERGs) for community and engagement
• Benefits that support life and well-being