Data and Machine Learning Engineer

Cognizant is hiring a Data and Machine Learning Engineer to design, build, and optimize scalable Azure data platforms and machine learning solutions. The role works with data scientists, cloud engineers, architects, and other stakeholders to deliver secure, reliable, production-ready solutions.

Responsibilities

• Design, develop, and maintain scalable data ingestion, transformation, and ETL/ELT pipelines
• Build and optimize Azure-based data platforms using Databricks, Synapse Analytics, Data Lake, and related cloud technologies
• Deploy, operationalize, and support machine learning solutions through CI/CD pipelines and MLOps practices
• Monitor, troubleshoot, and optimize data and machine learning workloads to ensure performance, reliability, and scalability
• Collaborate with engineering and data science teams to translate business and technical requirements into production-ready solutions

Preferred

• Experience with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake
• Knowledge of MLflow, Docker, Kubernetes, or Azure Kubernetes Service (AKS)
• Experience with Delta Lake, Parquet, and modern cloud data architectures
• Familiarity with infrastructure as code, orchestration frameworks, and cloud monitoring tools
• Exposure to enterprise data integrations, including SAP Change Data Capture (CDC)
• Experience working in Agile development environments
• Azure Data Factory
• Azure Synapse Analytics
• Azure Data Lake
• MLflow
• Docker
• Kubernetes
• Azure Kubernetes Service (AKS)
• Delta Lake
• Parquet
• Cloud Data Architecture
• Infrastructure as Code
• Orchestration Frameworks
• Cloud Monitoring Tools
• Enterprise Data Integration
• SAP Change Data Capture (CDC)
• Agile Development

Benefits

• 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
• Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans

Company

• Full-stack AI solutions and technology services for enterprises
• Teaneck, New Jersey, USA
• https://www.cognizant.com/
• Founded in 1994
• 10001+ employees

Qualifications

• Proven experience as a Data Engineer, Machine Learning Engineer, or Cloud Platform Engineer
• Strong hands-on experience with Microsoft Azure data engineering and analytics services
• Proficiency in Python, SQL, and/or Scala
• Experience developing, supporting, and optimizing production-grade data pipelines
• Hands-on experience with Apache Spark, Databricks, or comparable distributed data processing frameworks
• Familiarity with CI/CD, DevOps, and MLOps practices
• Ability to independently design, develop, troubleshoot, and deliver technical solutions
• Strong communication and collaboration skills with experience working across cross-functional teams
• Experience with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake
• Knowledge of MLflow, Docker, Kubernetes, or Azure Kubernetes Service (AKS)
• Experience with Delta Lake, Parquet, and modern cloud data architectures
• Familiarity with infrastructure as code, orchestration frameworks, and cloud monitoring tools
• Exposure to enterprise data integrations, including SAP Change Data Capture (CDC)
• Experience working in Agile development environments

Required skills

• Apache Spark, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, CI/CD, Data Pipeline Engineering, Databricks, Delta Lake, DevOps, Docker, Kubernetes, MLOps, MLflow, Microsoft Azure, Parquet, Python, SAP Change Data Capture (CDC), SQL, Scala

Preferred skills

• Experience working in Agile development environments

Experience

• Mid level