Senior Data Engineer

Company: Liberty Mutual Insurance
Location: Plano
Posted on: October 16, 2024

Job Description:

Schedule: Full-Time Salary Range: USD $103400.00 - $188800.00 Job Category: Technology 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. 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 per week in the office) and we will only consider candidates based in Portsmouth, NH, Boston, MA, Plano, TX and Indianapolis, IN. Job introduction: The US Retail Markets (USRM) Data and Analytics Engineering team is actively searching for a highly productive Senior Data Engineer for a distributed, dynamic agile team to serve as a technical expert designing, developing, analyzing & testing innovative data warehouse reporting solutions. This candidate will join an energetic and engaged Business Data Solutions Engineering team focused on delivering exceptional value to our PL Products business partners. Y ou will work collaboratively in an agile squad to design and build data pipelines & workflows, ingest, curate & provision data workflows in a Cloud-based environment as well as own responsibility of thorough end-to-end testing. 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. You will have the opportunity to help lead this change with us as we grow this culture, mindset and capability. We encourage you to apply if this interests you: Work as ONE team committed to excellence. Model and promote a Data First attitude. Help advance Data Engineering operations into the future. Work with a modern data tech stack. About the job: Work in a dynamic and exciting agile environment with Scrum Masters, Product Owners, and team members to develop creative data-driven solutions with our ETL pipeline that meet business and technical initiatives. Analyze, develop and execute data integration solutions, to manage the information lifecycle needs of an organization. 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). Designs and builds data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations and/or designs using ETL and API microservices. Builds data architecture and data applications (marts/warehouses) that enable reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data. Improve speed to market by focusing on current data needs as well as building out the long-term strategic data solutions using AWS, Snowflake, SQL, Data Vault methodology, 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. Continuously learn to maintain strong knowledge of technology enablers. Mentor new and junior developers. Provide successful deployment and provisioning of data solutions to production or other required environments. Analyze 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. Qualifications Bachelor or Master`s degree in technical or business discipline or equivalent experience, technical degree preferred. Generally 5+ years of Data Engineering experience. Experience developing back end, data warehouse technology solutions. Knowledge of a variety of data platforms including Snowflake, Teradata, SQL, DB2 (Cloud based DB a plus). Experience with AWS (such as S3, Snowflake, Athena), Unix, Informatica (IDMC) and strong SQL skillset. 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). Well 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. Strong negotiation, facilitation and consensus building skills. Strong oral and written communication skills; presentation skills; Extensive knowledge of the following: IT concepts, strategies, methodologies. Extensive 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 Extensive understanding of backlog tracking, burndown metrics, and incremental delivery Strong collaboration, prioritization, and adaptability skills required. Additional Qualifications: Java, Ruby, NoSQL, Python development experience. Understanding of Cloud / Hybrid data architecture concepts. Understanding of insurance industry and products. Excited by trying new technology and learning new tool s. About Us **This position may have in-office requirements depending on candidate location.** 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" on IDG'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. 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. 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. Fair Chance Notices California San Francisco Los Angeles Philadelphia Employment Type: Full Time

Keywords: Liberty Mutual Insurance, Carrollton , Senior Data Engineer, Engineering , Plano, Texas