The Liberty Mutual Foundation
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.
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. This role involves designing, developing, analyzing, and testing innovative data warehouse reporting solutions. You will join an energetic Business Data Solutions Engineering team focused on delivering value to our Claims business partners. You will work collaboratively in an agile squad to design and build data pipelines and workflows, ingest, curate, and provision data workflows in a Cloud-based environment, and own responsibility for thorough end-to-end testing.
This environment is fast-paced, emphasizing rapid delivery. You will work in a highly collaborative setting that values speed and quality, fostering a positive work environment and driving change as we grow our culture, mindset, and capabilities.
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:
Develop creative data-driven solutions with our ETL pipeline in an agile environment.
Analyze, develop, and execute data integration solutions, managing the information lifecycle needs of the organization.
Participate in and lead peer development and code reviews, focusing on test-driven development and CICD.
Design and build data provisioning workflows, schemas, data transformations, and integrations using ETL and API microservices.
Build data architecture and applications to enable reporting, analytics, data science, and improve data accessibility, efficiency, governance, and quality.
Focus on speed to market and build long-term strategic data solutions using AWS, Snowflake, SQL, Data Vault, and other modern technologies.
Create programs and tools for ingestion, curation, and provisioning of enterprise data.
Collaborate openly to create innovative technical solutions.
Continuously learn to stay updated on technology enablers.
Mentor junior developers.
Deploy and provision data solutions to production environments.
Analyze complex technical problems and recommend process improvements to enhance data reliability, quality, and efficiency.
Qualifications: - Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience, with 5+ years of Data Engineering experience.
- Experience developing backend data warehouse solutions.
- Experience integrating Guidewire systems with Snowflake via APIs and ETL tools.
- Knowledge of data platforms like Snowflake, Teradata, SQL, DB2 (cloud-based a plus).
- Experience with AWS (S3, Snowflake, Athena), Unix, Informatica, and strong SQL skills.
- Extensive IT concepts, strategies, methodologies knowledge.
- Experience working in agile environments with cross-functional teams.
- Leadership in optimizing CI/CD, testing frameworks, and practices.
- Proactive, initiative-driven, logical thinker.
- Strong collaboration, prioritization, and adaptability skills.
- Excellent communication and presentation skills.
- Extensive knowledge of IT and business operations, strategies, and methodologies.
Additional Qualifications:
Experience with Java, Ruby, NoSQL, Python.
Understanding of Cloud / Hybrid data architecture.
Knowledge of insurance industry and products.
Enthusiasm for learning new technologies.
#J-18808-Ljbffr
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. This role involves designing, developing, analyzing, and testing innovative data warehouse reporting solutions. You will join an energetic Business Data Solutions Engineering team focused on delivering value to our Claims business partners. You will work collaboratively in an agile squad to design and build data pipelines and workflows, ingest, curate, and provision data workflows in a Cloud-based environment, and own responsibility for thorough end-to-end testing.
This environment is fast-paced, emphasizing rapid delivery. You will work in a highly collaborative setting that values speed and quality, fostering a positive work environment and driving change as we grow our culture, mindset, and capabilities.
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:
Develop creative data-driven solutions with our ETL pipeline in an agile environment.
Analyze, develop, and execute data integration solutions, managing the information lifecycle needs of the organization.
Participate in and lead peer development and code reviews, focusing on test-driven development and CICD.
Design and build data provisioning workflows, schemas, data transformations, and integrations using ETL and API microservices.
Build data architecture and applications to enable reporting, analytics, data science, and improve data accessibility, efficiency, governance, and quality.
Focus on speed to market and build long-term strategic data solutions using AWS, Snowflake, SQL, Data Vault, and other modern technologies.
Create programs and tools for ingestion, curation, and provisioning of enterprise data.
Collaborate openly to create innovative technical solutions.
Continuously learn to stay updated on technology enablers.
Mentor junior developers.
Deploy and provision data solutions to production environments.
Analyze complex technical problems and recommend process improvements to enhance data reliability, quality, and efficiency.
Qualifications: - Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience, with 5+ years of Data Engineering experience.
- Experience developing backend data warehouse solutions.
- Experience integrating Guidewire systems with Snowflake via APIs and ETL tools.
- Knowledge of data platforms like Snowflake, Teradata, SQL, DB2 (cloud-based a plus).
- Experience with AWS (S3, Snowflake, Athena), Unix, Informatica, and strong SQL skills.
- Extensive IT concepts, strategies, methodologies knowledge.
- Experience working in agile environments with cross-functional teams.
- Leadership in optimizing CI/CD, testing frameworks, and practices.
- Proactive, initiative-driven, logical thinker.
- Strong collaboration, prioritization, and adaptability skills.
- Excellent communication and presentation skills.
- Extensive knowledge of IT and business operations, strategies, and methodologies.
Additional Qualifications:
Experience with Java, Ruby, NoSQL, Python.
Understanding of Cloud / Hybrid data architecture.
Knowledge of insurance industry and products.
Enthusiasm for learning new technologies.
#J-18808-Ljbffr