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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Intermediate experience using Python for data transformation, integration, and automation. Hands-on experience with modern public cloud-based data platforms like Snowflake, AWS (e.g., S3, Glue, Lambda). Proficiency with ETL/ELT pipelines and patterns for loading data warehouses and data lakes. Hands-on experience building and deploying CI/CD pipelines (e.g., GitHub Actions, Bamboo, or similar tools).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505375104", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503322305, "name": "Senior Cloud Data Engineer, Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1749497400, "t_create": 1743432660, "ats_job_id": "69494", "display_job_id": "2025-69494", "type": "ATS", "id_locale": "2025-69494-en", "job_description": "Does the thought of building a modern cloud-based data platform from the ground up excite you? If yes, then join us and be part of a team that's forging the path to data-driven success. Note: This role has a hybrid work arrangement in our Boston, MA office (2x/week) We have a large and varied customer base, supported by strategic business units that function as a complete investment firm within our Fortune 100 Company. Our investment professionals are critical to our ability to keep our promises to policyholders, claimants, and their families. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. A bachelor's degree in technical or business discipline, or equivalent experience 5+ years of experience in data engineering, with a proven track record of designing, building, and optimizing scalable data pipelines and architectures Expert-level proficiency in SQL and strong experience with Python for data transformation, automation, and orchestration Deep understanding of data modeling, data warehousing, and data architecture best practices Hands-on Experience with modern public cloud-based data platforms - Snowflake (preferable), AWS, Azure Advanced proficiency in AWS services including (but not limited to): S3, Glue, Lambda, EC2, and Athena Proficient with ETL/ELT data pipelines, patterns for loading Data Warehouses, Lakes Solid experience with DevOps practices and automation frameworks, including CI/CD pipelines, GitHub Actions, Bamboo, and pipeline-as-code principles Skilled in BI/reporting tools (e.g., Power BI, Tableau) Previous experience in Investments / Asset Management, Finance Data modeling, is highly desirable. Familiarity in building and consuming APIs (REST, API Gateway, etc.) Cognizance of security concerns, from access control and authentication to secured processes. Knowledge of containerization and orchestration tools (e.g.: Docker, Kubernetes) A comprehensive understanding of agile environments and the ability to adapt to rapidly changing circumstances. Work in Data and Analytics squad to design, develop, and enhance the data and analytics solutions and pipelines, driving data-driven decision-making processes. Collaborate with scrum masters, product owners, and engineering teams to iteratively create data and analytics solutions that meet both business and technical requirements. Work closely with development team in building Innovative, cloud native solutions using AWS, Snowflake, Python, Rest API etc. Continuously enhance full delivery pipeline through automation, expanded yet increasingly efficient test coverage, ultimately optimizing time-to-market and overall quality Optimize and fine-tune existing data pipelines for performance, scalability, and reliability. Implement data quality checks and monitoring processes to ensure data accuracy and consistency. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Mentor junior engineers in the team; collaborate in technical documentation; participate in code reviews and adhering to engineering excellence/best practices. 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Continuously scan the Gen AI landscape?model releases, orchestration frameworks, prompt-engineering trends?and assess fit for our roadmap Establish engineering standards for code quality, observability, cost-efficient LLM usage, and secure development Mentor MLOps engineers and full-stack developers; foster a dynamic, collaborative culture that earns trust across technical and business teams Design of end-to-end solutions as an architect or senior engineer; proven Tech Lead for small, agile teams and the ability to work through others Advanced Python skills; experience building services that integrate with LLM APIs (OpenAI preferred). Solid understanding of AWS primitives (Lambda/ECS/Fargate, S3, IAM, networking) and secure-by-design principles. Comfort with MLOps concepts (model lifecycle, evaluation, monitoring) and CI/CD automation. Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style. 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Strong influencing and consensus building skills, and the adaptability to respond to change quickly Strong communications skills, both written and verbal Ability to effectively collaborate with all levels of the organization with diverse backgrounds Proven experience with agile practices and expectations 6. 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Influence the Future: Shape the direction of our risk control initiatives, influencing policy and procedural changes that enhance our market position. A proven Risk Control industry leader with significant Life Science and Technology experience in the commercial insurance industry space that can balance competing demands of self-performed work, coaching, and project completion. Strong technical property, products, auto, and workers compensation knowledge relevant to Life Science and Technology verticals with analytical skills to interpret data for informed decision-making. Exceptional coaching and communication abilities to inspire and guide teams and clients alike. A coach who can monitor and evaluate the technical skills and assess report quality of Risk Control Consultants while providing actionable feedback. An adaptable and proactive mindset with a passion for problem-solving and innovation to excel with our product director and underwriting teams. Participates in actively acquiring and retaining profitable business. Strong understanding of regulatory and code requirements (e.g. FDA, EMA, NFPA) and risk management methodologies. Familiarity with quality management systems (QMS), Good Laboratory Practices (GLP), and Good Manufacturing Practices (GMP). Familiarity with electronics manufacturing, software as a product and telecom industries. Ability to travel to client sites across the US. Travel is expected to be in a range of 25-50% per month. Bachelor's degree with coursework in math, engineering or related areas (or equivalent) and at least 10 years of directly related consulting experience in loss prevention or progressive safety/heath field. Candidates are typically working towards (or obtained) an advanced degree and/or professional certification in one or more of the following areas: CSP, ARM, CRM, CPCU, CIH, or CPE. Advanced knowledge, skills and experience in a specialized field, service planning and delivery, risk assessment, risk analysis, solutions management and progress measurement. Fully effective interpersonal, writing and other communication skills, required to develop and maintain relationships with customers, peers, and industry contacts. Excellent coaching and mentoring skills. Demonstrated ability to retrieve and enter information using various proprietary software applications and create/modify documents and complex spreadsheets using Microsoft Office suite. 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Shape and drive the engineering strategy for incubation efforts, ensuring alignment with enterprise architecture standards, modern engineering practices, and long-term technology direction. Partner closely with Solaria Labs and cross-functional stakeholders in product, design, and applied science to co-develop and launch experimental solutions that accelerate learning and unlock business value. Foster a culture of technical excellence, continuous learning, and experimentation, while ensuring high standards for code quality, system reliability, and operational efficiency. Oversee talent development, performance management, and succession planning across the team, including hiring, coaching, and mentoring of engineering managers and senior technical leaders. Influence enterprise technology strategy by contributing to architectural decisions, platform investments, and the adoption of emerging technologies such as GenAI, while leveraging and building cloud-native platforms. Represent the team in strategic planning, budgeting, and resource allocation discussions, ensuring effective deployment of engineering capacity across initiatives. Bachelor's or Master's Degree in technical or business discipline or related experience; Master's Degree preferred. Generally, more than 10 years related experience with 5 years in leadership role. In-depth knowledge of IT concepts, strategies and methodologies and their application to business opportunities. In-depth knowledge of business operations, objectives and strategies. In-depth knowledge of project planning methodologies and tools and IT standards and guidelines. Advanced knowledge of management concepts, practices and techniques. Ability to promote a team environment consisting of several teams. Highly developed negotiation, facilitation and consensus building skills. 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Identify and lead high-impact opportunities to modernize workflows and strengthen alpha generation across fixed income and macro strategies, ensuring alignment with the evolving needs of the platform. Design and evolve an advanced performance diagnostic platform to better understand investment strengths and weaknesses, promote transparency, and fuel a cycle of continuous improvement. Partner across GLM and LMI to integrate innovative thinking into strategic planning, leveraging both internal insights and external best practices. 15+ years of experience in capital markets, investment strategy, or quantitative finance, with a track record of leading innovation in institutional investment environments. Deep expertise in fixed income or macro strategies, portfolio construction, and applied quantitative methods. Demonstrated ability to lead cross-functional teams and deliver technology-driven investment solutions. Proficiency in investment analytics, data architecture, and programming tools such as Python, SQL, Dash, and Power BI. Bachelor's degree required; advanced degree or certification (e.g., MBA, CFA, CAIA) strongly preferred. Builds the Business: Shapes long-term strategy through insight, foresight, and execution at scale. Drives Commercial Impact: Translates ideas into innovations that enhance portfolio performance and investment advantage. Delivers Through People: Develops talent and fosters a collaborative, high-performance team culture. Models Corporate Citizenship: Collaborates transparently across the enterprise and leads with integrity and shared purpose. Ensure initiatives are operationalized across the investment platform and embedded into daily decision-making. Manage, mentor, and develop a high-performing team, fostering a culture of intellectual curiosity, continuous learning, and applied experimentation. 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Monitors and maintains the product health, supporting long-term product viability and efficiency, and balancing long and short term and costs with desired outcomes. Analyzes and reports on feasibility, cost of delay ramifications, economies, or other aspects of planned or potential changes to the product. Understands regulatory, compliance, and other industry constraints on the product and prioritizes accordingly. Negotiates with internal and external squads/teams to ensure priorities are aligned across squads/teams both within and outside the portfolio. Collaboratively builds the product roadmap, contributes to strategy inputs from stakeholders. May contribute to program/portfolio level planning. Influences stakeholder expectations for delivery of new capabilities, features, and functionalities. 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(max-width:989px){#advanced_menu_toggle[data-av_icon]:before{font-size:30px;font-weight:normal;font-family:'FontAwesome'!important;} #advanced_menu_toggle{border-width:0px;} .container{padding:0 30px;} .responsive .logo{padding-top:10px;} } .main_menu .current_page_item a .avia-menu-text{border-bottom:0!important;} @media screen and (max-width:767px){.rem-arrow a:before{content:' '!important;} .responsive #top #wrap_all .container{width:92%;max-width:92%;} #advanced_menu_toggle{left:0;right:auto;border-width:0px;} .responsive #top .logo{margin:0 auto;width:150px;} .responsive .logo img{max-height:40px;margin:0 auto!important;} #header_main{border-top:0;} } @media screen and (min-width:1024px){li#menu-item-13649 ul.sub-menu{left:207px!important;} li#menu-item-13649.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:10px;} } #top a:focus{outline-offset:-2px!important;opacity:1!important;} .inner-container 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background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-11981:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1136:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1435:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-3937:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-12966:hover{background-color:rgba(255, 255, 255, 0.8) !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;}