Job Summary
Seeking an experienced Data Engineer with strong expertise in Python Spark Databricks and AIML technologies to build scalable data platforms and GenAI solutions The ideal candidate will have handson experience with LLM pipelines AI agent workflows cloudbased data engineering and modern data architectures
Responsibilities
Job Title Data Engineer ITRAC
Job Description
Seeking an experienced Data Engineer with strong expertise in Python Spark Databricks and AIML technologies to build scalable data platforms and GenAI solutions The ideal candidate will have handson experience with LLM pipelines AI agent workflows cloudbased data engineering and modern data architectures
Key Responsibilities
Design build and optimize scalable data pipelines using Python Spark Delta Lake and Databricks
Develop and manage data solutions across Azure Snowflake PostgreSQL and other enterprise data platforms
Design and implement LLM pipelines including data ingestion preprocessing prompt engineering finetuning and deployment
Build AIdriven workflows using LangChain LangGraph and LLM APIs such as OpenAI Azure OpenAI and Hugging Face
Collaborate with data scientists AI engineers and business teams to deliver data and AI solutions
Ensure data quality governance security and performance across data platforms
Required Skills
Strong expertise in Python Spark and AIML frameworks
Handson experience with Databricks Delta Lake Snowflake and PostgreSQL
Experience building and optimizing LLM and GenAI pipelines
Working knowledge of LangChain LangGraph AI Agents and RAG architectures
Experience with OpenAI Azure OpenAI Hugging Face or similar LLM APIs
Strong understanding of Azure cloud architecture scalability and solution design
Excellent analytical problemsolving and communication skills
Preferred Skills
Experience with Model Context Protocol MCP and AI agent orchestration
Knowledge of Docker CICD pipelines and cloud infrastructure
Exposure to AzureGCP cloud platforms
Telecommunications domain experience is a plus
Role Data Engineer AIML GenAI
Experience 7 Years
Primary Skills Python Spark Databricks Snowflake LLMs LangChain Azure AI GenAI Pipelines
Certifications Required
Experience with Model Context Protocol MCP and AI agent orchestration
Knowledge of Docker CICD pipelines and cloud infrastructure
Exposure to AzureGCP cloud platforms
Salary and Other Compensation:
The annual salary for this position is between $104K to 115 K 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.
Application accepted till 8/23/2026
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.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
