AXA is a leading financial protection company, committed to fostering and maintaining a diverse, multicultural and inclusive environment, and one of the nation’s premier providers of life insurance and annuity products. The organization was established in 1859 and we are committed now more than ever to helping clients meet financial goals in all stages of their lives. One of the hallmarks of our proud heritage is providing world-class customer service.
We're always looking for smart and talented people to help us develop new and innovative ways to expand our product portfolio, reach new customers and serve well the clients already a part of the AXA family.
The Data & Analytics Office (DAO) is responsible for enterprise-wide governance and utilization of information as an asset, via data acquisition, data processing, analysis, data mining, and other means to create value for the organization. The DAO oversees data collection, use and strategy throughout AXA. This data includes large structured and unstructured data sets (e.g., speech analytics, social media listening, digital footprints, customer behavior, financial information, proprietary market research, and secondary sources) with the goal of discovering meaningful implications for business decisions.
The Data Engineer is responsible for the design, creation, and use of data in support of the analytics and business/operational needs of a large financial services organization. The Data Engineer will be expected to consume data generated by dozens of disparate systems to produce new data sources that are elegantly abstracted, accurate, and reusable. The Data Engineer is expected to have expert level mastery of Hadoop (CDH), Spark, and relational databases. The Data Engineer must have excellent communication skills and independently collaborate with actuarial and business experts.
Bachelor’s Degree and 4 years of relevant work experience
Proficiency with the following: JAVA, Hadoop (CDH), relational databases and SQL, ETL development, python/scala, spark, data validation and testing
Experience with collaborative development workflows (e.g., GitHub)
Excellent written, verbal and interpersonal skills, a must as there will be significant collaboration with the business and IT
Experience with legacy systems (i.e., mainframes), additional software development experience, project management experience and production deployment experience
Expertise in machine learning or statistics
NOTE: AXA participates in the E-Verify program.
In addition to competitive compensation and an outstanding benefits package including 401 (k) and medical programs, we offer the opportunity for continued professional development in a congenial corporate environment.
AXA is committed to providing equal employment opportunities to our employees, applicants and candidates based on individual qualifications, without regard to race, color, religion, gender, gender identity and expression, age, national origin, mental or physical disabilities, sexual orientation, veteran status, genetic information or any other class protected by federal, state and local laws.