Sr. AWS Data Engineer

Sr. AWS Data Engineer 00068215381 Date published Apr 02 2026 Location Jupiter / United States Job category Digital Work model Work from Office Job Summary We are seeking an experienced Senior Data Engineer with 8 to 12 years of experience to join our team. The ideal candidate will have expertise in AWS Glue Amazon Redshift PySpark Python AWS Cloud Formation Databricks Databricks CLI Data Unity Catalogue other AWS services and Spark Optimization. This role involves designing and optimizing cloud-based solutions ensuring efficient data processing and storage. Responsibilities Design and implement scalable cloud-based architectures using AWS services to support business objectives. Optimize Spark applications for performance and efficiency ensuring seamless data processing. Develop and maintain AWS Cloud Formation templates for infrastructure automation and management. Utilize Amazon RDS and Amazon Redshift for efficient data storage and retrieval ensuring data integrity. Monitor and manage cloud resources using AWS CloudWatch to ensure optimal performance and cost-effectiveness. Implement and manage AWS IAM policies to ensure secure access and compliance with organizational standards. Leverage Amazon DynamoDB for high-performance scalable database solutions. Develop ETL processes using AWS Glue to facilitate seamless data integration and transformation. Utilize Amazon S3 for secure and reliable data storage ensuring data availability and durability. Collaborate with cross-functional teams to ensure alignment of cloud solutions with business goals. Provide technical guidance and support to team members fostering a culture of continuous learning and improvement. Stay updated with the latest industry trends and AWS advancements to drive innovation within the organization. Contribute to the companys mission by delivering efficient and sustainable cloud solutions that enhance operational efficiency. Qualifications Possess strong expertise in Spark Optimization and AWS Cloud Formation essential for designing robust cloud solutions. Demonstrate proficiency in Amazon RDS Redshift and DynamoDB crucial for managing and optimizing data storage. Exhibit experience in AWS CloudWatch and IAM necessary for monitoring and securing cloud environments. Have hands-on experience with AWS Glue ETL and Amazon S3 important for data integration and storage solutions. Show proficiency in Python and Apache Spark beneficial for developing and optimizing data processing applications. Experience in Smart Grid Operations is a plus providing valuable domain knowledge for relevant projects. Work Location: On site At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in Palm Beach, FL. The Cognizant community: We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive. Cognizant is a global community with more than 300,000 associates around the world. We don’t just dream of a better way – we make it happen. We take care of our people, clients, company, communities and climate by doing what’s right. We foster an innovative environment where you can build the career path that’s right for you. About us: Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Disclaimer: Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.