CNA Financial Corporation

Senior Data AI Engineer - Java

CNA Financial Corporation$72K — $141K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree; Master's preferred in Computer Science or related field.
  • Typically 5+ years in data, analytics, or application development.
  • 2+ years coding in a programming language such as Python, Java, or SQL.
  • Proficiency with AI-assisted development tools and modern data engineering practices.
  • Preferred experience in Google Cloud Platform services and insurance/financial services sectors.

Responsibilities

  • Serve as a vital team member generating value for the CNA brand and stakeholders.
  • Utilize AI-assisted tools to speed up engineering tasks like pipeline creation and troubleshooting.
  • Design and build multi-modal data pipelines using Java Spring technologies.
  • Modernize data pipelines in hybrid environments with a focus on automation and resilience.
  • Create and enhance large-scale data systems on Google Cloud Platform for optimization and efficiency.

Benefits

  • Continued professional development through workshops and publication reviews.
  • Participation in professional societies to enhance technical knowledge.
  • Flexible hybrid work environment, combining on-premise and remote options.
Full Job Description
Senior Data/AI Engineer is an individual contributor role responsible for designing, building, and modernizing production-grade data pipelines and data solutions across hybrid cloud and on-premise environments. The role applies expertise in AI-assisted development tools, strong engineering judgment, and modern data engineering practices to integrate structured, semi-structured, and unstructured data across complex enterprise ecosystems, leveraging both legacy platforms and cloud-native technologies to deliver scalable, secure, resilient, and high-quality solutions that improve speed to delivery, operational reliability, and business value.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:
  • Serves as a key team member who delivers results and creates value for the CNA brand, customers, and internal stakeholders, while collaborating effectively with external and offshore resources as needed.
  • Demonstrate hands-on experience using AI-assisted development tools to accelerate engineering tasks such as pipeline creation, code generation, testing, and troubleshooting
  • Apply strong engineering judgment when working with AI-generated outputs, ensuring alignment with enterprise standards for quality, security, and data handling
  • Design and build data pipelines that support multi-modal data, including structured, semi-structured, and unstructured sources (e.g., transactional data, documents, and external data feeds) leveraging Java / Java Spring Boot / Java Spring Batch.
  • Build and modernize data pipelines across hybrid environments (on-premise and cloud), incorporating automation, observability, and resiliency by design
  • Designs, builds, and enhances large-scale data processing systems and data lakes on Google Cloud Platform, optimizing for computational and storage efficiency while applying strong expertise in data modeling and engineering best practices.
  • Operate effectively in complex, multi-entity and multi-national system landscapes, integrating internal platforms and external data providers
  • Bring familiarity with both legacy enterprise data tools (e.g., ETL/ELT platforms, relational databases) and modern cloud-native data and integration services This role is not focused on experimentation alone - it is focused on applying AI in a disciplined, production-grade engineering environment to drive measurable improvements in delivery speed, quality, and operational reliability
  • 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.
  • May lead or sub-lead robust unit testing to ensure deliverables match the design and provide 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.
  • Research, 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.


May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities
  • Strong knowledge of data architecture, relational and NoSQL database concepts, ETL/ELT patterns, dimensional modeling, metadata, and data quality frameworks for enterprise-scale data solutions.
  • Strong experience designing and building scalable data integration and pipeline solutions with a focus on accuracy, observability, resiliency, performance optimization, and ease of consumption.
  • Proficiency in Java / Java Spring Boot / Java Spring Batch, advanced SQL for large-scale, complex datasets, with hands-on experience using AI-assisted development tools to accelerate coding, testing, troubleshooting, and engineering productivity.
  • Strong communication, collaboration, and stakeholder engagement skills, with the ability to apply sound engineering judgment and work effectively across highly matrixed, cross-functional, and global teams.
  • Preferred experience building data and analytics solutions on Google Cloud Platform, including services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer, or equivalent cloud-native data technologies.
  • Preferred experience in insurance and financial services, including familiarity with regulatory, risk, underwriting, claims, customer, and operational data domains.
  • Experience with big data and distributed processing technologies, hybrid cloud and on-premise environments, and modern engineering practices including automation, testing, CI/CD, and secure data handling.
  • Working knowledge of business intelligence, reporting, and analytics enablement tools, with an understanding of data governance, lineage, monitoring, and controls needed to support trusted, production-grade data products.


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).


#LI-KJ1 #LI-HYBRID

About CNA Financial Corporation

CNA Financial Corporation provides commercial property and casualty insurance products primarily in the United States. It offers professional liability coverages and risk management services to various professional firms, including architects, real estate agents, and accounting and law firms; directors and officers, employment practices, fiduciary, and fidelity coverages to small and mid-size firms, public and privately held firms, and not-for-profit organizations; and commercial property, general liability, cyber liability, umbrella, and excess liability, as well as various other property and casualty coverages for healthcare institutions, professional services firms, and other specialized industries. The company also provides warranty and service contracts for consumer goods, and extended service contracts for consumer automobiles and recreational vehicles; and accident and health, and group life insurance products. In addition, it offers management and professional liability insurance and risk management services, as well as other specialized property and casualty coverages to various healthcare organizations, including hospitals, physician groups, and nursing homes. The company markets its products through independent agents, brokers, and general underwriters to various customers, including small, medium, and large businesses; insurance companies; associations; and other industry groups. CNA Financial Corporation was founded in 1853 and is headquartered in Chicago, Illinois.
Learn more about CNA Financial Corporation
Size
5,600 employees
Market Cap
$11.2 billion
Industry
Net Income
$690 million
Founded
1973
5 Year Trend
+4.7%
Revenue
$10.8 billion
NASDAQ

Similar Jobs

More Jobs at CNA Financial Corporation

More Finance & Insurance Jobs

Find similar Senior Data AI Engineer - Java jobs: