Data Engineer

Liberty Mutual Group Asset Management Inc.
Boston, MA, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Unit Testing Code Review Customer Data Management Information Engineering Data Governance Data Sharing Data Systems Regression Testing Layered Systems Snowflake
+4 more
Core Data Information Technology Data Pipelines Programming Languages

Job description

At Liberty Mutual Investments Technology, we are seeking a skilled Senior Data Engineer who is ready to take on exciting challenges, contribute to our cloud-native data platform, and make a real impact across our investment insights. You will build modern, AI-powered solutions and robust data pipelines that power insights across our Global Liquid Markets Public Markets portfolio, and you will use AI and agentic tools to build faster, test smarter, and automate the work that slows teams down. This is a high-impact opportunity to grow your career in a supportive, growth-oriented team working on meaningful challenges., As a Senior Data Engineer within the Public Markets squad, you will be a hands-on contributor, collaborating closely with your Product Owner, Tech Lead, fellow engineers, and business stakeholders to deliver high-quality data solutions.

  • Build data people can trust: Design and run automated, high-performance data pipelines on Snowflake and AWS that bring market and vendor data into the platform reliably and at scale.
  • Build the data products: Develop and enhance data models behind scalable products that power analytics and applications used in real investment decisions with an AI-first mindset.
  • Make quality a standard, not an afterthought: Implement testing practices, from unit tests built into the pipeline to independent regression testing, following shared quality standards with Core Data and data governance.
  • Apply AI-powered data engineering: Use AI to speed up how the squad builds, tests, and operates data pipelines, and apply agentic AI to automate repetitive engineering work, with sound guardrails and human review.
  • Collaborate with product and business partners: Partner with the Product Owner, Tech Lead, and stakeholders to understand business needs, refine requirements, and contribute to a prioritized data roadmap.
  • Contribute to engineering excellence: Mentor engineers, participate in code reviews, share knowledge, and follow engineering best practices to continuously improve squad delivery and quality.

Requirements

  • Bachelor or Master`s degree in technical or business discipline or equivalent experience
  • Generally 5+ years of professional experience
  • Highly proficient in data engineering languages and tools, and strong proficiency in general programming languages and frameworks; ability to develop on multiple platforms
  • Strong negotiation, facilitation and consensus building skills
  • Strong oral and written communication skills; presentation skills Extensive knowledge of the following: IT concepts, strategies, methodologies
  • Versed in diverse technologies and new technical architecture principles and concepts
  • Extensive knowledge in layered systems architectures solutions and designs and shared data engineering concepts
  • Business function(s) and I/T industry business issues; extensive knowledge of business operations, strategies and objectives
  • Extensive understanding of agile data engineering concepts and processes
  • Must be proactive, demonstrate initiative and be a logical thinker
  • Extensive consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements
  • Extensive understanding of backlog tracking, burndown metrics, and incremental delivery
  • Experience using AI tools to improve the speed, quality, and scale of work; can point to concrete workflows where AI adds value; critically evaluates and validates AI-generated output; and applies AI responsibly, protecting confidential and customer data.
  • Strong collaboration, prioritization, and adaptability skills required

About the company

At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.

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