We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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Develops, constructs, tests and maintains data architectures for data platform, databases, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, practice, procedures, governance and quality assurance for data deliverables. Bachelor's or Master's degree in technical or business discipline or equivalent experience, technical degree preferred. Minimum 5+ years of data engineering / data modeling experience. Extensive data modeling experience using industry standard methodologies and tools (Erwin, UML) Extensive experience with both relational (Postgres) and dimensional data modeling (Snowflake, SSAS). Extensive experience developing DDL for cloud platforms (Amazon Redshift, Amazon Aurora, Snowflake) preferred. Extensive experience utilizing data governance (Informatica IDMC). Experience working with AWS preferred. Experience deploying DDL within Amazon AWS (Redshift, Aurora, Snowflake) preferred. Experience building ETL pipelines preferred. Experience building automation into data modeling and deployments. Experience working with financial data. Experience with insurance industry preferred. Must be proactive and self-driven, demonstrate initiative and be a logical thinker. Strong leadership, communication, collaboration skills with a track record of taking solution ownership. Excellent communication and collaboration skills.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504350060", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618502755455, "name": "Principal SAS Data Engineer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States", "Indianapolis, Indiana, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1749497340, "t_create": 1741101960, "ats_job_id": "69063", "display_job_id": "2025-69063", "type": "ATS", "id_locale": "2025-69063-en", "job_description": "The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. Description We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance. This role has a hybrid work schedule (2 days onsite) and we are considering candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH. Job introduction: The EDATA (Enterprise Data & Analytics Technology) organization is actively searching for a highly productive Principal SAS Data Engineer of a distributed, dynamic agile team to serve as a technical expert in analysis, design, coding and testing of our SAS analytic solutions. Under general direction, acts as a technical expert who consults on highly complex projects. Responsible for the analysis, development and execution of complex data solutions, in order to manage the information lifecycle needs of an organization. Collects, integrates and analyzes organizational data with the purpose of drawing conclusions about that information. Develops, constructs, tests and maintains data architectures for data platforms, databases, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, best practices, procedures, governance and quality assurance for data analytics deliverables. Recommends methods to improve data reliability, quality, and efficiency. Devises or modifies procedures to solve technical problems. Leads and directs the work of team members. May mentor junior team members. About the job: Enhance and strengthen the support model and triaging capabilities in collaboration with our offshore support partners. Act as a thought leader by establishing standards, guardrails, and best practices for SAS analytics tooling, and drive governance and compliance. Leverage observability, data, and platform costs to identify and recommend opportunities for improvement, addressing complex technology gaps within business processes. Collaborate with the Data Office and stakeholders to analyze workloads and recommend strategies for improving efficiency, while actively driving the implementation of those recommendations. Document existing processes, organizational structures, architectures, and external systems for clarity and knowledge sharing. Contribute to the development and enhancement of solutions, ensuring alignment with business needs. Support engineers during implementation, including cutover plans, post-implementation support, issue resolution, transition planning, and knowledge sharing. Communicate effectively and gather feedback from stakeholders to ensure alignment and support. Proactively identify potential impacts on business strategy, driving vision and cross-functional collaboration to achieve strategic objectives. Qualifications Bachelor or Master`s degree in technical or business discipline or equivalent experience, technical degree preferred. Minimum 8+ years of Data Engineering experience. In-depth knowledge of IT concepts, strategies, and methodologies. Possess extensive experience in building, designing, troubleshooting, and coding SAS processes/workloads, with deep user-level knowledge of SAS. Familiarity with diverse and emerging technologies, as well as new architectural concepts and principles. Knowledgeable in data engineering languages and tools; proficient in new and emerging technologies. Proficient in data engineering languages and tools, including Python, SAS, R, SQL, and DB warehouse technologies; knowledgeable in new and emerging technologies. Understanding of code management practices and monitoring tools, along with GitHub. Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations. Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations. Highly developed negotiation, consensus building & influencing skills, facilitation, and the adaptability to respond to change quickly. Exceptional oral and written communication skills; strong presentation capabilities. Proven ability to effectively collaborate with all levels of the organization. About Us Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications, and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits, and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. 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Experience with delivering executive presentations and materials. A history of leadership building sustainable patterns and standards A comprehensive understanding of agile environments Experience working with cloud platforms (AWS) and relevant services (e.g., Lambda, s3, Athena, Aurora) Experience using job orchestration tools (e.g., Airflow, Control-M, CA ESP, Stonebranch, Snowflake tasks) Experience developing or architecting performant, cost efficient, and scalable data products and solutions. Expertise in a wide variety of database technologies, preferably Snowflake Experience with the Guidewire Insurance Suite Experience with streaming/event-based data services and tools (e.g., Kafka) Experience modeling and maintaining Data Vault 2.0 models. 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Analyzes trends and is responsible for tactical and strategic recommendations. Works with other departments to coordinate activities in order to ensure that Liberty meets partner expectations. Works between quoting experiences to ensure Liberty is providing a consistent partner experience Leads problem resolution as needed to ensure that internal and external customers receive prompt, efficient service in accordance with company policies. Develops communication plans and related activities. Communicates with both internal and external customers on project status, e.g. vendors, business partners and Information Technology. Performs special projects as requested Bachelor's or Master's degree in business or technical discipline or equivalent experience. Minimum of 5 years related experience. Extensive knowledge of business operations, objectives and strategies as well as business process and information flow. Understanding of business practices common across many businesses. Extensive understanding of re-engineering approaches. General knowledge of IT concepts, strategies and methodologies. General knowledge of diverse technologies and new and current architectures. Skills in object, data and / or process modeling; financial analysis and planning, business value analysis; business process design. Negotiation, facilitation and consensus building skills. 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Balance tactical and strategic decisions while collaborating with other product owners and technical leaders. Lead sessions with users and customers to gain insights into product usage and identify improvement opportunities. Partner with User Experience teams to deliver intuitive and cohesive container management products. Monitor and maintain product health, proactively identifying potential impacts on other services. Analyze feasibility, cost, and other aspects of planned or potential changes to the product offering. Bachelor's degree in relevant fields (business, computer science, humanities etc. Master's degree preferred. Minimum 7+ years of Product Owner experience supporting agile teams. Proven track record of a product mindset. Experience in cloud-native technologies, container orchestration, and Kubernetes. Strong understanding of microservices architecture, container runtime environments, telemetry and basic networking concepts. 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Proven experience designing & building APIs (REST, SOAP, API Gateway, SpringBoot, etc.) Experience in agile software delivery (Scrum, Kanban, XP, etc.) Highly proficient in software engineering tools such as GIT Hub and Jira. Versed in diverse technologies and technical architecture principles and concepts. Extensive knowledge in layered systems architectures solutions and designs and shared software concepts. Knowledge of Application Monitoring tools like DataDog Strong 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. 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Visual design: You will ensure that the look, feel, layout and interaction details of your products meet customer needs and deliver against business objectives. You will work with team leadership and external functions to ensure corporate communication and brand standards are met. Despite your outstanding design skills and your passion for every pixel, you let the user drive the evolution of your designs. 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!important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}