Data Engineer

Data Governance Platform Engineer

At Liberty Mutual, technology isn't just a part of our business, it's what drives us forward. 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 an Agile team within a Fortune 100 company, we are on the front edge of an IT transformation for how people work and deliver solutions.

This is a hybrid role requiring 2 days in the office a week in the following locations: Plano, Indianapolis, Portsmouth, and Boston.

You must be authorized to work in the United States without employer sponsorship now or in the future. We will not sponsor employment visas. Candidates who will require future sponsorship, including candidates on CPT/OPT/STEMOPT who will require future sponsorship, are not eligible to apply.

Our USRM Data & Analytics Engineering (DAE) team is looking for talented and motivated Data Engineer(s) to join our Data Governance Platform Engineering (DGP) team. In this pivotal role, you will work closely with other engineers, architects, and product partners to design, build, and evolve our enterprise data governance platforms. You will enable secure, high-quality, and well-managed data to power insights, analytics, and innovation across Liberty Mutual.

This role is ideal for engineers who enjoy solving complex platform and data security challenges, building scalable automation, and partnering across engineering, architecture, governance, and business teams to deliver modern data capabilities.

Key Responsibilities:

• Collaborate within a dynamic, high-performing agile team of engineers, scrum masters, and product owners to develop, enhance, and scale modern data governance platforms.
• Apply your expertise in data governance, cloud infrastructure, and automation to build resilient, observable, and secure data solutions (e.g., monitoring, orchestration, load auditing, data security).
• Leverage modern technology stacks (e.g., AWS, Java, coding agents) to build automation and repeatable data patterns that accelerate delivery and improve platform reliability.
• Design and implement platform components to enable the secure ingestion, curation, classification, and provisioning of complex enterprise data for analytics and data science.
• Analyze sophisticated data and technical problems, crafting innovative solutions that exceed customer and business expectations.
• Handle end-to-end development, including coding, testing, and debugging during each cycle.
• Ensure the robustness and quality of your solutions by developing comprehensive automated tests (unit, integration, regression) and applying best practices in code quality.
• Mentor and guide junior team members, fostering a culture of growth, knowledge sharing, and continuous improvement.
• Champion agile methodologies, collaborating across teams, and advocating for iterative improvement and a growth mindset.

Why Join Us?

• Make a direct impact on the security, quality, and discoverability of Liberty Mutual's most critical data assets.
• Be part of an innovative team shaping data governance and analytics.
• Enjoy a collaborative, fast-paced, and supportive work environment with opportunities for professional growth and leadership.
• Advance your skills working with modern cloud, data, and automation technologies.

Preferred Qualifications:

• Platform engineering experience supporting Data Governance capabilities (e.g., data access controls, privacy, discovery, classification, masking).
• Experience integrating AI/ML-assisted tools and practices into the SDLC to improve code quality, automate testing and deployment (e.g., AI-powered code review, test generation, CI/CD optimization), and accelerate delivery while maintaining governance and security controls.
• Practical experience with AWS core services: CloudFormation, S3, EC2, Lambda, Step Functions, IAM.
• Solid foundation in Java, Nodejs and familiarity with Python, JavaScript and/or TypeScript.
• Understanding of API design concepts and best practices.
• Advanced SQL skills.
• Demonstrated problem-solving skills, eagerness to learn, and ability to work through ambiguity.
• Team-oriented mindset and a passion for collaboration in a distributed agile environment.
• Experience with Snowflake or similar cloud data platforms.
• Familiarity with RBAC (Role-Based Access Control) implementation and other data security concepts.
• Experience with Informatica/IDMC or other enterprise ETL and governance platforms.
• Experience building or supporting enterprise platform services with a focus on scalability, resiliency, observability, and operational supportability.
• Knowledge of Kafka and event-driven architecture.
• Proficient in CI/CD tooling (e.g., GitHub, GitHub Actions, or comparable tools).
• Experience with functional and integration testing in agile environments.
• Experience using code quality and testing frameworks (e.g., unit tests, mocking/stubbing).
• Experience troubleshooting distributed systems, performance bottlenecks, and enterprise-scale data platform issues.