Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
Our Culture
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
Job Summary:
We are seeking a highly skilled Data Engineer to build, optimize, and maintain scalable data platforms and pipelines that power customer insights, personalization, analytics, and AI-driven initiatives. The ideal candidate will have strong experience in designing and delivering high-performance batch and real-time data solutions, enabling business stakeholders to derive actionable customer intelligence and support targeted marketing campaigns.
Responsibilities:
- Design, develop, and maintain robust batch and real-time data pipelines to support enterprise analytics and personalization initiatives.
- Build scalable data ingestion, transformation, and delivery frameworks for analytics, reporting, machine learning, and AI use cases.
- Enable data readiness and accessibility for customer analytics, segmentation, audience creation, and campaign execution.
- Implement and manage data quality, validation, lineage, and monitoring frameworks to ensure data accuracy, consistency, and reliability.
- Collaborate closely with Data Scientists, Analytics teams, and business stakeholders to operationalize and productionize machine learning models.
- Optimize data platform performance, scalability, reliability, and cost efficiency across cloud environments.
Skills Required:
- 5–8 yrs Data Engineering experience
- Strong in Python, SQL, Spark
- Experience with AWS/Azure, Snowflake/Databricks
- Exposure to real-time streaming (Kafka/Kinesis preferred)
Benefits:
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:
· You can pursue innovative career tracks and opportunities here
· You can enhance your professional development through education and dedicated training
· We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.
Next Steps:
Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.
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.












