Position: Senior 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 Guide.
An individual contributor role that provides a high level of expertise in the design, development, and integration of strategic, 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). CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact .
