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.
À savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant.
