Senior Data Engineer

Liberty Mutual Insurance•Boston, MA

6d•$161,803 - $197,000•Remote

About The Position

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.

Requirements

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.
Demonstrable experience with 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.
Experience with 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.
Understanding of Agile development concepts including Test-Driven Design, MVP, iterative and incremental design, and delivery.

Responsibilities

Design, develop, and enhance data and analytics solutions and pipelines.
Collaborate with scrum masters, product owners, and engineering teams to create data and analytics solutions.
Design, develop, and maintain dimensional models and ETL processes.
Build innovative, API-first, cloud-native solutions using AWS, Markit EDM, Snowflake, Snaplogic, Python, and Rest APIs.
Enhance delivery pipelines through automation and test coverage.
Optimize and fine-tune existing data pipelines for performance, scalability, and reliability.
Implement data quality checks and monitoring processes.
Stay current with industry trends and best practices in data engineering.
Participate in daily scrum meetings and collaborate with agile team members.
Create and maintain technical and testing documentation.
Mentor and provide guidance to new and junior data engineers.
Participate in code reviews and champion best practices.
Support the data environment by releasing new features and resolving issues.