Senior Data Engineer

Description
Do you have the desire and drive to work on the latest in emerging technologies and rapidly add to your engineering toolbelt? Join team "Best Coding Squad" to develop solutions related to data pipelines, GenAI, predictive models (pricing, risk selection, claims, fraud, etc.), and full stack applications.
As part of the Best Coding Squad (BCS), you will be part of an hybrid team of Data Scientists and Data Engineers developing data-centric solutions for our business stakeholders. We build, test, and maintain technical architectures for applications, data pipelines, databases, analytical/reporting dashboards, and predictive model workflows.
An ideal candidate is self-motivated to learn at a proactive pace. A growth mindset is key as we're constantly working with new and emerging technologies
Responsibilities

• Design & develop technical solutions as part of a SCRUM team in a scaled agile environment.
• Work in a dynamic and exciting agile environment with Scrum Masters, Product Managers, and team members to develop creative data-driven solutions that meet business and technical initiatives
• Work directly with data scientists to provision data for model development
• Interact with internal stakeholders and the core development team to refine the product backlog
• Automate and execute all levels of testing (unit, integration, and regression)
• Design and develop solutions to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science
• Support custom applications through their entire lifecycle
• Proactively avoid and eliminate technical debt
• Champion engineering excellence
• Foster learning/growth mindset and model it for others
• Demonstrate open minded and collaborative approach to creating innovative technical solutions

Technologies

• Programming Languages: Python, Typescript/NodeJS
• SQL & relational database concepts
• Service Architecture: Microservices, Rest APIs, JSON, Swagger
• CICD Tools & Concepts: GitHub Actions (preferable) or equivalent experience such as Bamboo/Jenkins/Azure Dev Ops
• Data Pipelines: Glue, Lambdas, Redshift, S3
• Additional AWS Services: RDS, CDK, Fargate, API Gateway, DynamoDB, SQS, SNS
• (nice to have) Machine learning pipelines: MLFlow, AWS Sagemaker

Qualifications

• 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
• Strong collaboration, prioritization, and adaptability skills required

About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications, and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits, and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally.
At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow.
We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices

• California
• Los Angeles Incorporated
• Los Angeles Unincorporated
• Philadelphia
• San Francisco

USD $104000.00 - $197000.00