Azure Data & ML Engineer: Scale Pipelines & MLOps

Cognizant; Mason (OH); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays and PTO

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Data and Machine Learning Engineer to design, build, and optimize scalable data platforms and ML solutions in an Azure environment. You will join the Data Engineering team and collaborate with data scientists, cloud engineers, and cross-functional stakeholders to deliver secure, production-ready systems.

You will work on Azure-based data platforms with Databricks and Synapse, deploy ML solutions via CI/CD and MLOps, and ensure performance and reliability across data

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.

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.

Skills

Data Engineer experience

Machine Learning Engineer experience

Cloud Platform Engineer experience

Python

SQL

Scala

Tools

Apache Spark

Databricks

Azure Kubernetes Service

Docker

Kubernetes

Job description

Cognizant is seeking a Data and Machine Learning Engineer to design, build, and optimize scalable data platforms and ML solutions in an Azure environment. You will join the Data Engineering team and collaborate with data scientists, cloud engineers, and cross-functional stakeholders to deliver secure, production-ready systems.

You will work on Azure-based data platforms with Databricks and Synapse, deploy ML solutions via CI/CD and MLOps, and ensure performance and reliability across data