At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.
Liberty Mutual has proudly been recognized as a “Great Place to Work” by Great Place to Work® US for the past several years. We were also selected as one of the “100 Best Places to Work in IT” onIDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates—as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion
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Do you have the skills—and drive—to join a tech team that's working to digitally transform a trillion-dollar industry? From test-driving the latest technologies to creating intuitive consumer apps harnessing the power of AI and Machine Learning, Liberty Mutual is constantly innovating and creating industry-leading solutions that provide peace of mind for our customers, brokers and agents worldwide. As a data engineer at Liberty Mutual, you'll apply your talents in an agile environment that has the creative energy of a start-up—and the full backing and comprehensive benefits of a Fortune 100 company.
Liberty Mutual Global Risk Solutions Technology, Analytics Enablement and Emerging Technologies is actively searching for a Senior Software Engineer to work on our team in a cross functional partnership with GRS Advanced Analytics, The AA Hub, to support our data scientists with deployment and integration of AI and ML technologies across multiple product verticals.
As a full-stack developer in GRS A&ET, you will be working side by side with other engineers as well as data scientists to design, develop and implement coding solutions which enable our data scientists to push their advanced analytics models to market faster, more efficiently and securely. Our teams focus on updating aged N-tier technologies to cloud-native designs, leveraging the cloud to process Big Data at scale, and continuously finding ways to maintain an MVP mindset while incrementally delivering the most feature rich solutions to our internal and external customers. Use of AWS cloud-based tools is a priority, leveraging CICD pipelines and microservices to deliver performant data solutions. You will participate in the oversight for the technical integrity of these systems, while ensuring solutions address business needs and align with market and industry trends. This role requires solid interpersonal skills and an understanding of predictive modeling. The team consists of a healthy mix of skills and seniority and this role will play a vital role in driving the continuous learning for the team through mentoring and knowledge sharing.
This is a range posting for Software Engineer or Senior Software Engineer. The actual internal level/grade for this role will depend on the candidate's overall experience and skill level.
- Responsible for the analysis, development and execution of data science and data integration solutions, in order to manage the information lifecycle needs of an organization.
- Works from specifications to develop or significantly modify highly complex software, applications and programs. Develops and/or modifies effective, defect free source code that meets business requirements and team standards.
- Seen as a technical expert within the team, this role analyzes complex technical problems and provides solutions. May mentor junior team members.
- Participates in unit test case development and develops complex test scripts. Executes all levels of testing (System, Integration, and Regression).
- Actively participates in and often leads peer development and code reviews within each Agile sprint, with focus on test driven development and Continuous Integration and Continuous Development (CICD).
- Works closely with stakeholders to develop custom REACT/Node.js applications, with a focus on UX best practices, to deliver best in class advanced analytics AI/ML model outputs to our underwriters for use in decisioning.
- Designs and builds data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations and/or designs using ETL and API microservices to deliver payloads to and from AI/ML models and integrated systems
- Builds data architecture and applications that enable reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data.
- This role analyzes complex technical problems and is expected to recommend process improvements that address complex technology gaps within a single business process and improve data reliability, quality, and efficiency. Contributes technical alternatives.
- Continuously learning to maintain strong knowledge of technology enablers
- Provides successful deployment and provisioning of data driven solutions to production or other required environments.
- Bachelor or Master`s degree in technical or business discipline or equivalent experience. Generally, 5+ years of professional software or data engineering experience.
- Highly proficient in data engineering languages and tools, and strong proficiency in general programming languages and frameworks; ability to develop on multiple platforms.
- Strong understanding of AWS technologies
- Strong understanding of REACT
- Strong understanding of RESTful API development, Oauth authentication and endpoints
- Extensive understanding of agile data engineering concepts and processes, such as CICD, pipelines, and iterative development and deployments.
- Strong negotiation, facilitation and consensus building skills.
- Strong collaboration, prioritization, and adaptability skills required
- Strong oral and written communication skills; presentation skills.
- Extensive knowledge of the following: IT concepts, strategies, methodologies.
- Versed in diverse technologies and new technical architecture principles and concepts.
- Demonstrated knowledge in layered systems architectures solutions and designs and shared data engineering concepts.
- Business function(s) and I/T industry business issues; knowledge of business operations, strategies and objectives.
- Must be proactive and self-driven, demonstrated initiative and be a logical thinker.
- Proven 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.
- Proven understanding of backlog tracking, burndown metrics, and incremental delivery.