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FM Global is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM Global helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research, risk management skills and support services, tailored risk transfer capabilities, and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.

The Data Engineer III is responsible for data ingestion, integration, and storage. This role is also responsible for creating and managing data infrastructure, data pipeline design, implementation, and data verification.

Along with the team, the Data Engineer III is responsible for ensuring the highest standards of data quality, security and compliance. Additionally, the Data Engineer III will implement methods to improve data reliability and quality, combine raw information from different sources to create consistent data sets.

This team is responsible for ingestion of data from source systems, integration of data across business entities (etl/elt), delivery of data via views for use by Analytics Reporting Tech, Business Intelligence and Advanced Analytics (Data Scientists). Backend data storage and prep for teams who are mining the data for predictive and prescriptive analytics and operational reporting.

The Data Engineer III is the third level position in the Data Engineer job family. Those holding this position are typically assigned to work on integrated project teams for medium to large projects and be the lead for small to medium projects. The Data Engineer III must also be able to work independently.

Data Acquisition

Possess and continually grow knowledge of structured and unstructured data sources within each product journey (Underwriting and Risk; Client Service, Sales and Marketing; Claims; Account and Location Engineering) as well as emerging data sources (purchased data sets; external data; etc.).

Partner with Product Owners, developers, Solution Architects, Enterprise Architects, Business Analysts, Data Engineers, Data Analysts, Data Scientists, and others to understand data and reporting needs.

Develop solutions using data modeling techniques and using technologies such as SQL Server database; SSIS; DAX, Power BI Premium, SQL Server & Analysis Services, and others as required.

Validate solutions are accurate through detailed and disciplined testing methodologies.

Ensure tables and views are designed for data integrity, efficiency and performance, and are easy to comprehend.

Move and Store Data

Design and maintenance of data flow, infrastructure pipelines, ETL/ELT, structured and unstructured data movement and storage solutions

Design data models and data flows into and out of Data Analytics databases

Understand and design data relationships between business and data subject areas

Follow standards for naming conventions, code documentation and code review.

Support Data Exploration and Transformation Needs

Conduct data cleansing and support other team members with data cleansing tasks if needed

Conduct data profiling to identify data anomalies and resolve issues

Complete data preparation tasks

Identify, design, and implement internal process improvements such as but not limited to automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure and SQL.

Support users and production jobs

Manage and address operational data issues by establishing workarounds and/or bringing in multi-functional teams to solve the issues in a timely manner

Support developers, data analysts and data scientists who need to work with data in the appropriate data base(s)

Analyze and assess reported data quality issues, conduct root cause analysis

Consult dba(s) and other technology infrastructure team members on configuration and maintenance of platform

Monitor system performance and look for opportunities for optimization

Monitor data storage capacity

Address production issues quickly, with appropriate validation and deployment steps

Provide concise and professional communication to users, management and teammates

Participate in effective execution of team priorities

Able to solve complex problems with on-time delivery

Identify work tasks and capture them in the team backlog

Organize known tasks, prioritize work as needed. Able to resolve colliding priorities and advances as needed

Provides production support

Network with product teams to keep abreast of database changes as well as business process changes which result in data interpretation changes

Familiarity with 3rd Normal Form and Dimensional (Inmon/Kimball) database theory

Prefer 4 year/Bachelor’s Degree or Master's Degree in Computer Science, Information Technology, Computer Engineering, or equivalent experience

5+ years relatable work experience

ETL/ELT design required.

SQL database platforms required

DAX coding language required.

Power BI Premium helpful, SSAS considered.

Fabric knowledge helpful

Familiarity with Azure cloud applications helpful

Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. Candidates may be considered for a data engineer III or data engineer IV role.

The position is eligible to participate in FM Global’s comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more.

FM Global is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

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