Data Engineer

Description

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 drive a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance.

The US Retail Markets (USRM) Data and Analytics Engineering team is actively searching for a highly productive Data Engineer for a distributed, dynamic agile team to serve as a technical expert designing, developing, analyzing & testing innovative data warehouse reporting solutions. This candidate will join an energetic and engaged Claims Data Solutions Engineering team focused on delivering exceptional value to our Claims business partners. You will work collaboratively in an agile squad to design and build data pipelines & workflows, ingest, curate & provision data workflows in a Cloud-based environment as well as own responsibility of thorough end-to-end testing.

 This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and foster a positive work environment. You will have the opportunity to help lead this change as we grow this culture, mindset, and capability.

**This is a hybrid role requiring two days in the office a week in one of the following locations: Plano, TX, Boston, MA, Portsmouth, NH, Indianapolis, IN and Columbus, OH**

 

We encourage you to apply if this interests you:

Work as ONE team committed to excellence.

Model and promote a Data First attitude.

 Help advance Data Engineering operations into the future.

Work with a modern data tech stack.

 

About the job:

Work in a dynamic and exciting agile environment with Scrum Masters, Product Owners, and team members.

Analyze, develop, and execute data integration solutions, to manage the information lifecycle needs of an organization.

Actively participates in code reviews within each Agile sprint, with focus on test driven development and Continuous Integration and Continuous Development (CICD).

Designs and builds data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations and/or designs using ETL and API microservices.

Build data architecture and data applications (marts/warehouses) that enable reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data.

Improve speed to market by focusing on current data needs as well as building out the long-term strategic data solutions using AWS, Snowflake, SQL, Data Vault methodology, as well as other modern data technologies.

Design and develop programs and tools to support ingestion, curation, and provisioning of complex enterprise data to achieve analytics, reporting, and data science.

Demonstrate an open-minded and collaborative approach to creating innovative technical solutions.

Continuously learn to maintain strong knowledge of technology enablers

Mentor new and junior developers.

Provide successful deployment and provisioning of data solutions to production or other required environments.

Analyze complex technical problems and is expected to recommend process improvements that address complex technology gaps within a single business process and improve data reliability, quality, and efficiency.

Qualifications

Bachelor`s degree in technical or business discipline or equivalent experience. Generally, 3+ years of professional experience.

Experience integrating Guidewire systems with Snowflake for reporting, analytics, or data warehousing purposes, often using APIs and ETL tools.

Knowledge of a variety of data platforms including Snowflake, Teradata, SQL, DB2 (Cloud based DB a plus).

Experience with AWS (such as S3, Snowflake, Athena), Unix, Informatica (IDMC) and strong SQL skillset.

Strong oral and written communication skills; presentation skills. Proficient in negotiation, facilitation and consensus building skills.

Knowledge of layered systems architectures and layered solutions and designs, understanding of shared data engineering concepts of agile data engineering concepts and processes

Must be proactive and demonstrate initiative and be a logical thinker. 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. Collaboration, prioritization, and adaptability skills required.