Senior/Software Engineer - Data & Analytics Engineering

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Are you inspired by the blending of Data and Technology to solve complex business challenges? At Liberty Mutual in Data and Analytics Engineering (DAE), we deliver well engineered solutions that enable the success of our business analytic and data science customers. We are looking for a talented and energetic person who is passionate about using cutting edge technology to deliver business value. DAE embraces a hybrid work culture, offering a full range of work location arrangements.

Job Summary: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 rapidly growing 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.

Note: This is a range posting – open to considering at the Engineer or Senior Engineer level.

In this role you will:

• Work in a dynamic and exciting agile environment with Engineers, Scrum Masters, and Product Owners to develop creative 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

Qualifications:

• Bachelor’s or Master’s degree in technical or business discipline or equivalent experience, technical degree preferred
• Experience developing back end, data warehouse technology solutions
• Experience developing front end interfaces using React
• Knowledge of a variety of data platforms including Teradata, DB2 (Cloud based DB a plus)
• Experience with AWS (such as S3, Snowflake, Athena, EMR)
• Experience with key value storage data concepts (DynamoDB, Cassandra)
• Experience with version control (Atlassian Bitbucket)
• Experience with UI/UX design thinking
• Extensive knowledge of IT concepts, strategies, methodologies.
• Experience working with agile methodologies (Scrum, Kanban, XP) and cross-functional teams (Product Owners, Scrum Masters, Developers, Test Engineers)
• Versed in diverse technologies and new technical architecture principles and concepts
• Demonstrates leadership and active pursuit of optimizing CI/CD process and tools, testing frameworks and practices
• Must be proactive, demonstrate initiative, and be a logical thinker
• Must be team oriented with strong collaboration, prioritization, and adaptability skills required

Additional Qualifications:

• Understanding of Cloud / Hybrid data architecture concepts
• Understanding of insurance industry and products
• Excited by trying new technology and learning new tools