Practice - AIA - Artificial Intelligence and Analytics
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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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 a Senior AWS Data Engineer to design and deliver scalable, cloud-native data solutions on AWS. This role focuses on building robust data pipelines, modernizing legacy systems, and enabling advanced analytics through data lakes and warehouses. You will work across batch and streaming architectures while ensuring high performance, reliability, and cost efficiency. The position requires strong expertise in AWS services, data modeling, and end-to-end data engineering practices.
In this role, you will:
· Design and develop end-to-end data pipelines using AWS services such as Glue, EMR, Lambda, and Airflow.
· Build and optimize data lake and data warehouse solutions using Amazon S3, Redshift, and Athena.
· Develop and manage ETL/ELT frameworks for large-scale data transformation and processing.
· Implement streaming data solutions using AWS Kinesis for real-time analytics use cases.
· Lead database migration, replication, and modernization initiatives using AWS DMS and Aurora.
· Ensure high performance and scalability through data partitioning, indexing, and query optimization.
· Collaborate with cross-functional teams to deliver data solutions aligned with business requirements.
· Follow Agile methodologies and contribute to continuous improvement of data engineering practices.
What you need to have to be considered
· Strong experience in AWS data engineering with hands-on expertise in Glue, Redshift, EMR, S3, Lambda, Kinesis, and related services.
· Proficiency in SQL and solid understanding of data modeling concepts and best practices.
· Experience in designing ETL/ELT pipelines and scalable data transformation frameworks.
· Strong programming skills in Python, PySpark, or similar technologies.
· Knowledge of data lake and data warehouse architectures and implementation patterns.
· Expertise in performance tuning and optimization for large-scale datasets.
· Experience with data migration, replication, and database modernization strategies.
· Proven ability to work effectively in Agile delivery environments.
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Applications will be accepted until 10 Jun 2026.
Salary and Other Compensation:
The hourly salary for this position is between $[108,000 - 123,000] 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
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
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.
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.
