Senior Python Data Engineer

About the Role As a Senior Python Data Engineer , you will make an impact by designing, building, and optimizing scalable data pipelines and cloud-native applications that enable reliable, high-performance data processing and integration. You will be a valued member of the engineering team and work collaboratively with data engineers, software developers, architects, product stakeholders, and cross-functional teams to deliver business-critical solutions. This position does not offer visa sponsorship. Candidates must be authorized to work without sponsorship now or in the future, including OPT, CPT, H1B or any other work authorization requiring employer sponsorship. In This Role, You Will: Design, build, and optimize data ingestion, transformation, and processing pipelines using modern Python data frameworks. Develop, deploy, and maintain serverless REST APIs and event-driven applications on AWS. Integrate AWS services and enterprise data platforms to ensure reliable messaging, orchestration, and state management. Leverage AI-powered development tools to accelerate coding, testing, documentation, and overall software delivery. Contribute to a fast-paced engineering environment focused on delivering high-quality solutions with speed, scalability, and reliability. Work Model At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client office in Atlanta, Georgia. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What You Need to Have to Be Considered 3 to 6 years of software or data engineering background. Expert-level Python development skills with hands-on experience using data processing frameworks such as Pandas and PySpark . Strong experience designing and implementing scalable data pipelines and data transformation solutions. Deep knowledge of AWS cloud services, including Lambda, API Gateway, Kinesis, SQS, and EventBridge . Experience building REST APIs, event-driven architectures, and enterprise integration solutions. Strong understanding of software engineering best practices, testing methodologies, and CI/CD processes. Experience working in agile development environments and collaborating across technical teams. These Will Help You Stand Out Experience with the Databricks platform and cloud-based analytics solutions. Knowledge of large-scale distributed data processing and big data architectures. Experience leveraging AI-assisted development tools to improve engineering productivity. Familiarity with modern data integration patterns and serverless application design. Strong communication and technical documentation skills. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance. Paid holidays plus Paid Time Off. 401(k) plan and contributions. Long-term/Short-term Disability. Paid Parental Leave. Employee Stock Purchase Plan. Compensation The annual salary for this position ranges from $100,000 to $114,000 , depending on experience and qualifications. This role is also eligible for Cognizant’s discretionary annual incentive program, subject to performance and applicable plan terms. Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. #J-18808-Ljbffr Cognizant