Senior Data Engineer

This remote position is open to any qualified applicant in the United States.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

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 Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!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 provide businesses with 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.

We are seeking an experienced Senior Data Engineer with a strong background in cloud-native data engineering, Python, and PySpark to join our growing data team. The ideal candidate will have the ability to handle complex data pipeline challenges and thrive in a fast-paced, collaborative environment. Experience with Palantir Foundry is a significant plus, but the core interview focus will be on real-world coding expertise using Python and PySpark.

• Design, build, and optimize scalable data pipelines using PySpark and Python in AWS based environments .
• Solve complex data ingestion, transformation, and integration problems efficiently.
• Collaborate with cross-functional teams to develop end-to-end data workflows and solutions.
• Leverage Palantir Foundry for data modeling, ontology development, pipeline orchestration, and operational analytics (if experienced).
• Develop and maintain reusable code libraries and data engineering best practices.
• Participate in code reviews, performance tuning, and architectural discussions.

• 8+ years of total software/data engineering experience.
• Strong command of Python programming for data processing, API integrations, and automation.
• Hands-on expertise with PySpark and SparkSQL for handling large-scale distributed data.
• Deep understanding of cloud-based data architecture.
• Familiarity with data lakehouse or modern data stack paradigms.
• Proficient in writing clean, production-ready code with unit tests and documentation.
• Experience with CI/CD workflows and version control (e.g., Git).

• Palantir Foundry development experience (Ontology, Code Repositories, Pipelines, Transformations).
• Familiarity with Foundry APIs and operational use cases.
• Experience in real time stream processing will be a big plus.

Application will be accepted until July 10, 2025.

The annual salary for this position is between $100,000- $150,000 USD depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and is 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.