Senior Data Engineer (Hybrid) - Cloud Pipelines & AI Tools

Liberty Mutual Insurance; Columbus (OH); Hybrid; USD 110,000 - 165,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Liberty Mutual Insurance seeks a Senior Data Engineer to join the PL Product/Finance and Vendor Extract team. This role focuses on building scalable data pipelines, data models, and integration processes using cloud-based technologies.

You will collaborate with product owners, stakeholders, and cross-functional teams to deliver high-quality data solutions. The role emphasizes data quality, automated testing, and governance within an agile environment.

Qualifications

• Bachelor’s degree in computer science, engineering, information systems, or related field or equivalent experience.
• 5–6 years of experience in data engineering, data analytics, or related technical role.
• Strong proficiency in SQL, including complex queries and data modeling.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data models.
• Analyze complex data sets to design flexible data solutions that meet business needs.
• Collaborate with product owners and stakeholders to translate requirements into data solutions.

Skills

SQL

Snowflake

AWS

CI/CD

Git

Data modeling

Data analytics

Agile/squad

Education

Bachelor’s degree in CS/Engineering or related

Tools

IDMC

Git

Snowflake

Job description

Liberty Mutual Insurance seeks a Senior Data Engineer to join the PL Product/Finance and Vendor Extract team. This role focuses on building scalable data pipelines, data models, and integration processes using cloud-based technologies.

You will collaborate with product owners, stakeholders, and cross-functional teams to deliver high-quality data solutions. The role emphasizes data quality, automated testing, and governance within an agile environment.