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Principal Data Solutions Engineer
3 months ago
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
The creative problem solvers in Liberty Mutuals Insights & Solutions group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, youll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working.
The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. Our data engineers write code that turns trillions of bits of information into structured datadata that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the teams success now and into the future.
If you are passionate about data engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you.
Modeling Data Solutions is seeking experienced data engineers to join its personal lines auto and personal lines property teams. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions.
**This is a ranged posting. Level of position offered will be based on skills and experience at manager discretion.**
**This role may have in-office requirements based on candidate location.**
In this role, you can expect to:
- Lead the design, development, and maintenance of scalable and efficient data pipelines and ETL processes
- Architect and implement data integration solutions using cutting-edge tools and technologies
- Collaborate with cross-functional teams, including data scientists, product analysts, and software engineers, to understand data requirements and provide technical guidance
- Optimize and tune data infrastructure for performance, scalability, and reliability
- Develop and enforce data governance policies and practices to ensure data quality and integrity
- Conduct performance analysis and troubleshooting of data processing and storage systems
- Mentor and guide junior data solutions engineers, providing technical leadership and promoting best practices
- Stay up-to-date with the latest advancements in data engineering and big data technologies
- Evaluate and recommend new tools, frameworks, and methodologies to enhance data engineering capabilities
The ideal candidate will:
- Have strong technical aptitude with data extraction and data engineering platforms (Python, SPARK, Cloud Computing, AWS and Snowflake)
- Have a background in Personal Lines Auto or Property Insurance.
- Strong written and oral communication skills required
- Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred
- Master`s in same or related disciplines strongly preferred
- 5-7+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack
- 5-7+ years experience as developer with top quadrant Business Intelligence tools
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. To learn more about our commitment to diversity and inclusion please visit:
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:
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.
