Principal Data Engineer

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential. 

CNA seeks to offer a comprehensive and competitive benefits package to our employees that helps them — and their family members — achieve their physical, financial, emotional and social wellbeing goals.

For a detailed look at CNA’s benefits, check out our Candidate’s Guide.

An individual contributor role that provides the highest level of leadership in the design, development, and integration of strategic, high-priority business applications across the entire software development lifecycle (Agile). This role also provides guidance to others to support the building of complex technical capabilities.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

• Acts as the principal builder of large-scale data processing systems and data lakes, optimized for both computational and storage efficiency on Google Cloud Platform.  Applies deep technical knowledge on data modeling and best engineering practices.
• Independently delivers results, creating value for the CNA brand, customers, and key internal stakeholders. Works with external (and offshore) resources as required.
• Leads 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.
• Leads 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.
• Leads the design of complex physical data models, projects and cloud-based data lake constructs including SQL/NoSQL database systems. Leads the creation of integrated data views based on business or analytics requirements.
• Researches and leads the identification and implementation of process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.
• Leads 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

• Expert knowledge of relational database concepts, ETL/ELT, star schema, data modeling.
• Expert knowledge of 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.
• Excellent communication and interpersonal skills and the ability to work effectively with peers and team members in a highly matrixed environment.
• Strong 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.
• Strong experience in implementing big data processing technology. Apache Spark preferred.
• Working knowledge of Business Intelligence tools.

Education & Experience

• Bachelor’s degree with Master’s preferred in Computer Science, Information Technology, related discipline or equivalent work experience.
• Typically 7 years of experience in data, analytics or application development.
• 3 years of coding proficiency in at least one programming language (Python, Java, SQL).
• Experience using Agile methods preferred.
• Previous project leadership experience preferred.
• Applicable certifications preferred (GCP, Data Engineering).

CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com.