CNA is one of the largest U.S. commercial property and casualty insurance companies. Backed by more than 120 years of experience, CNA provides a broad range of standard and specialized insurance products and services for businesses and professionals in the U.S., Canada and Europe. Our focus on providing solutions and inspiring trust differentiates us from other companies and supports long-term relationships. Joining CNA offers an opportunity to be part of an evolving organization where employees are able to make an impact and drive change. Be a part of the evolution.
Job Summary
An individual contributor role that provides a high level of expertise in the design development and integration of strateg ic high-priority data applications across the entire software development lifecycle (Agile). This role may also provide guidance to others to support the building of complex technical capabilities.
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:

• Participates in the building of large-scale data processing systems and data lakes optimized for both computational and storage efficiency on Google Cloud Platform. Applies technical knowledge on data modeling and best engineering practices.
• Working as a key team member delivers results creating value for the CNA brand customers and key internal stakeholders. Works with external (and offshore) resources as required.
• May lead or sub-lead the design implementation and automation of data pipelines sourcing data from internal and external systems transforming the data for the optimal needs of various systems and business requirements.
• May lead or sub-lead robust unit testing to ensure deliverables match the design and provides expertise to support subsequent release testing.
• Actively adheres to established quality and reliability standards and ensures team adheres to the same quality and standards working in an Agile development environment.
• May lead or sub-lead the design of complex physical data models projects and cloud-based data lake constructs including SQL/NoSQL database systems. May lead or sub-lead the creation of integrated data views based on business or analytics requirements.
• Researches identifies and implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.
• May lead or sub-lead the design and building of data solutions and applications that enable reporting analytics data science and data management.
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of CNA application development processes and standards.
• Applies machine learning to work as applicable.

May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills Knowledge & Abilities

• Strong knowledge of relational database concepts ETL/ELT star schema data modeling.
• Strong data integration design and development ensuring accuracy and ease of consumption. Strong troubleshooting and problem solving skills.
• Proficient in Python or advanced SQL in a business environment with large-scale complex datasets.
• Strong communication and interpersonal skills and the ability to work effectively with peers and team members in a highly matrixed environment.
• Preferred experience in building data analytics solutions using Google Cloud Platform services such as Google BigQuery Cloud Storage Dataflow DataProc Pub/Sub Cloud Composer or DataPrep. AWS including Amazon Redshift Postgres Elastic MapReduce a plus.
• Preferred experience with the insurance industry its products and services.
• Experience in implementing big data processing technology. Apache Spark preferred.
• Working knowledge of Business Intelligence tools preferred.

Education & Experience

• Bachelor's degree with Master's preferred in Computer Science Information Technology related discipline or equivalent work experience.
• Typically 5+ years of experience in data analytics or application development.
• 2+ years of coding proficiency in at least one programming language (Python Java SQL).
• Experience using Agile methods preferred.
• Applicable certifications preferred (GCP Data Engineering).

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