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Closed on September 2, 2026.
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Senior Data Engineer
Senior
CI/CD
Cloud
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Data Analysis
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
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Data Warehousing
Database
Databases
DevOps
ETL
Github Copilot
Integration
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SQL
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Job Description
Senior Data Engineer at Liberty Mutual in Portsmouth, NH (hybrid), with a requirement to work 2 days per week in the office in Boston, Portsmouth, or Indianapolis, offering a salary range of USD 106,000 to 197,000 per year to design, build, and maintain scalable data pipelines and cloud-based data solutions.
Responsibilities
- Build and maintain scalable data pipelines, data models, and integration workflows using modern cloud platforms such as AWS and Snowflake
- Examine complex data sets and technical challenges to craft robust, flexible data solutions aligned with business needs
- Collaborate with Product Owners, business stakeholders, and cross-functional teams to translate requirements into technical data capabilities
- Develop and support ETL and ELT pipelines for structured and unstructured data from internal and external sources, including APIs, flat files, and enterprise applications
- Implement data quality checks, validation rules, reconciliations, exception handling, and monitoring to ensure data integrity
- Create automated tests across unit, system, integration, and regression scopes to ensure reliability and accuracy
- Conduct data profiling, root-cause analysis, and troubleshooting of data issues in production and non-production environments
- Document data flows, data dictionaries, and technical specifications to support data governance and knowledge sharing
- Identify opportunities for continuous improvement across data engineering processes and tooling
- Collaborate with engineers and architects, actively participating in code reviews and engineering best practices
- Leverage AI-assisted development tools such as GitHub Copilot
Requirements
- Bachelor’s degree in computer science, Engineering, Information Systems, or a related technical or business discipline, or equivalent experience
- 5 to 6 years of experience in data engineering, data analytics, or a related technical role
- Strong proficiency in SQL, including crafting complex queries, data modeling, and working with relational and analytical databases
- Familiarity with cloud-based data platforms and tools such as Snowflake, AWS, or similar technologies
- Strong analytical and problem-solving skills with the ability to interpret and communicate data-driven insights
- Experience working in an agile, squad-based environment with cross-functional teams
- Proactive, self-motivated, and a logical thinker with strong attention to detail
- Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders
- Experience with data integration and ETL/ELT tools such as IDMC
- Familiarity with CI/CD pipelines, Git, and software development best practices
Technologies
- AWS
- Snowflake
- IDMC
- Git
- GitHub Copilot
- CI/CD pipelines
Preferred
- Understanding of cloud or hybrid data architecture concepts
- Exposure to data governance, data quality frameworks, or master data management concepts
- Experience in the insurance or financial services industry is a plus
- Guidewire experience is a plus