Cognizant (NASDAQ : CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world. This position does not offer visa sponsorship; only candidates who are visa-independent are eligible to apply. Job Title : Azure Data Engineer (Databricks, Synapse, PySpark, ADF) Location : United States Employment Type : Full-time Cognizant (NASDAQ : CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world. About the Role We are seeking an experienced Azure Data Engineer with strong expertise in Azure Databricks , Azure Synapse Analytics , PySpark , and Azure Data Factory (ADF) . This role involves designing and implementing scalable data solutions on Azure, enabling advanced analytics and business intelligence for enterprise clients. Key Responsibilities Design and develop data pipelines using Azure Data Factory (ADF) and Databricks for ETL / ELT processes. Implement data transformation and processing using PySpark within Databricks. Build and optimize data models in Azure Synapse Analytics for reporting and analytics. Collaborate with business and technical teams to gather requirements and deliver robust data solutions. Ensure data quality, security, and compliance across all data processes. Optimize performance of data pipelines and queries for large-scale datasets. Troubleshoot and resolve issues related to data ingestion, transformation, and storage. Document technical designs, workflows, and best practices. Required Skills & Experience 5 years of experience in data engineering with strong Azure expertise. Hands-on experience with Azure Databricks for big data processing. Proficiency in PySpark for data transformation and analytics. Strong knowledge of Azure Synapse Analytics for data warehousing and modeling. Experience in building ETL / ELT pipelines using Azure Data Factory (ADF) . Solid understanding of SQL and performance tuning for large datasets. Familiarity with Azure security and governance best practices. Excellent communication and problem-solving skills. Preferred Qualifications Experience with Delta Lake , Azure DevOps , and CI / CD for data solutions. Knowledge of data lake architecture and data governance frameworks . Exposure to Power BI or other visualization tools. Why Join Us? Work on cutting-edge Azure data technologies in a dynamic environment. Opportunity to design and implement enterprise-scale data solutions. Collaborative team culture with focus on innovation and growth. Work model : We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in United states . Regardless of your working arrangement, we are here to support a healthy work-life balance though 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. Application Accepted : 12 / 05 / 2025 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. Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you! LI-AV1CBInd123
Azure Data Engineer • Muir Woods, CA, US