About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies. By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Job Summary: We are seeking an experienced Lead Engineer with 8 to 10 years of expertise in Big Data and AWS technologies. The ideal candidate will have a strong background in Life and Annuities Insurance and will be responsible for designing and implementing scalable solutions. This hybrid role requires proficiency in AWS EC2, AWS EMR, Amazon S3, Apache Spark, and Python, with a focus on delivering impactful results.
Key Responsibilities:
Salary and Other Compensation: The hourly salary for this position is between $115,500 - $135,500 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.