Pay
Lower than most similar jobs
$90K–$105K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Senior AWS Data Engineer (Java, Python & Generative AI)
Charlotte, North Carolina, United States
Actively hiring, first seen by us today- Pay
$90,000–105,000/year — pay source
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.
Read the full posting- Work setting
Hybrid — work setting source
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’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingAs 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.
Design and develop scalable data pipelines using AWS Glue, PySpark, Amazon S3, Athena, and Redshift.
Design and develop scalable data pipelines with AWS Glue, PySpark, S3, Athena and Redshift
Build data transformation, integration and data quality solutions in Python, PySpark and SQL
Develop and support Java REST APIs, preferably with Spring Boot
Integrate enterprise applications, databases, APIs and AWS services
Develop Generative AI solutions on AWS Bedrock with LLMs and agent-based architectures
From the employer’s posting
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.
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.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
At Cognizant, jobs usually come down by about day 21.
From 11,033 similar postings that came down, and 386 of Cognizant’s. Coming down is not always a hire.
Cognizant is hiring
139 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down quickly
- 6% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- SQL
- AWS
- Redshift
- S3
- PySpark
Where the posting names them
- 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.
- 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.
- 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.
- 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.
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:
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.
- 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:
- 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.
- 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.
Your next step
Complete your application on careers.cognizant.com. The employer’s form will show what is required.
Already applied? Track this application
About Cognizant
- People
- About 351,600 in 2025, up 4% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as CTSH.
- H-1B visas
- 1,401 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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’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:
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. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
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: 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
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Charlotte, North Carolina, United States
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’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.