Sr. AWS Data Engineer (Java, Python & Generative AI)

Cognizant; Charlotte (NC); Hybrid; USD 90,000 - 105,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus PTO

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Senior AWS Data Engineer to design scalable, cloud-based data solutions and Generative AI capabilities. You will collaborate with architects, data scientists, and business stakeholders to deliver enterprise-scale results.

Responsibilities include building data pipelines with AWS Glue, S3, Athena, and Redshift, plus developing Python/PySpark solutions and Java REST APIs using Spring Boot.

Qualifications

• 8+ years of experience in data engineering, software engineering, or related technical roles.
• Strong hands-on experience with AWS data services, including AWS Glue, S3, Athena, and Redshift.
• 8+ years of experience developing solutions with Python, PySpark, and advanced SQL.
• 8+ years of experience building RESTful APIs and Java applications, preferably using Spring Boot.
• Experience designing and implementing enterprise data integration across cloud and on-premises environments.
• Experience developing Generative AI solutions using AWS Bedrock and integrating LLM capabilities into enterprise apps.
• Experience implementing production-grade CI/CD, monitoring, logging, testing, security, and operational best practices.

Responsibilities

• Design and develop scalable data pipelines using AWS Glue, PySpark, S3, Athena, and Redshift.
• Build complex data transformation, integration, and data quality solutions with Python, PySpark, and SQL.
• Develop and support Java-based REST APIs, preferably with Spring Boot.
• Integrate enterprise applications, databases, APIs, and AWS services to support business processes.
• Develop Generative AI solutions using AWS Bedrock, LLMs, and tool-calling frameworks.

Skills

Big data

Python

PySpark

SQL

REST APIs

Java

Spring Boot

CI/CD

Data modeling

Tools

AWS Glue

Amazon S3

Athena

Redshift

Python

PySpark

SQL

Spring Boot

Job description

About The Role

As a Senior AWS Data Engineer you will make an impact by designing and building scalable cloud-based data solutions, modern APIs, and Generative AI capabilities that drive business innovation. You will be a valued member of the Data Engineering team and work collaboratively with architects, application teams, data scientists, product owners, and business stakeholders to deliver enterprise-scale solutions.

In This Role, You Will

• Design and develop scalable data pipelines using AWS Glue, PySpark, Amazon S3, Athena, and Redshift.
• Build complex data transformation, integration, and data quality solutions using Python, PySpark, and SQL.
• Develop and support Java-based REST APIs, preferably using Spring Boot, to enable secure and reliable data access.
• Integrate enterprise applications, databases, APIs, and AWS services to support critical business processes.
• Develop Generative AI solutions using AWS Bedrock, large language models (LLMs), agent-based architectures, and tool-calling frameworks.

Work Model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2 days a week in a client or Cognizant office in Charlotte, North Carolina. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you are 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

• 8+ years of experience in data engineering, software engineering, or related technical roles.
• Strong hands-on experience with AWS data services, including AWS Glue, Amazon S3, Athena, and Redshift.
• 8+ years of experience developing solutions with Python, PySpark, and advanced SQL.
• 8+ years of experience building RESTful APIs and Java applications, preferably using Spring Boot.
• Experience designing and implementing enterprise data integration solutions across cloud and on-premises environments.
• Experience developing Generative AI solutions using AWS Bedrock and integrating LLM capabilities into enterprise applications.
• Experience implementing production-grade CI/CD, monitoring, logging, testing, security, and operational best practices.

These Will Help You Stand Out

• Experience building and integrating Model Context Protocol (MCP) servers and tools.
• Experience exposing enterprise data, APIs, and business services to AI agents through MCP frameworks.
• Experience with agentic AI architectures, tool orchestration, and advanced AI integration patterns.
• Experience working in large-scale enterprise cloud environments.
• Exposure to Angular development and modern front-end technologies.

We're excited to meet people who share our mission and can make an impact in a variety of ways.

Salary And Other Compensation

Applications will be accepted until November 29, 2026

The annual salary for this position is between $ 90,000 - $ 105,000 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

• 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

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.