Data Engineer

• Work on the Data and Analytics squad to design, develop and enhance 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 the business and technical requirements.
• Design, develop, and maintain dimensional models and ETL processes to load Data.
• Work closely with the development team in building innovative, API first, cloud-native solutions using the AWS platform, Markit EDM, Snowflake, Snaplogic, Python, Rest APIs, etc.
• Continuously enhance delivery pipelines 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.

• Participate in daily scrum meetings and collaborate with other agile team members.
• Collaborate, and contribute to creating, and maintaining technical, and testing documentation for new features developed or enhancements made to existing features.
• Mentor and provide guidance to new and junior data engineers.

• Participate in code reviews and champion the adoption of best practices. Support the data environment by releasing new features, resolving issues for users, and working with other technology teams.

• Telecommuting permitted up to 60%.

Employer will accept a Bachelor’s degree in Computer Science or related field and 5 years of experience in the job offered or in a Senior Data Engineer - related occupation. Position requires demonstrable experience with each of the following:

• Domain expertise in Investments, Asset Management, or Finance.
• Data modeling, data warehousing, and modern data platform component experience.
• Proficiency with ETL/ELT data pipelines, patterns for loading Data Warehouses, Lakes.
• Public cloud data platforms, including AWS and Azure.
• Knowledge of business intelligence, analytics, and reporting tools including Power BI and Tableau.

• Experience with Python, SQL, Shell Scripting, and object-oriented programming language(s). Experience with Git/Bitbucket.

• Agile development concepts including Test-Driven Design, MVP, iterative and incremental design, and delivery.
• Telecommuting permitted up to 60%
• Multiple Positions Available.

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., At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.