Data and Machine Learning Engineer
Ai/ml Data Engineering
Automation
Azure
Azure Data Engineer
Azure Data Factory
Azure Data Lake
Azure Data Platform
Azure Synapse Analytics
Big Data
Bigdata
CI/CD
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Engineer
Cloud Infrastructure
Cloud Native
Cloud Native Technologies
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Cloud Technology
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Factory
Data Factory Azure
Data Integration
Data Integration Tools
Data Lake
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Science Ops
Data Warehouse
Database
Databases
Databricks
Databricks Lakehouse
Databricks Mlflow
Delta Lake
DevOps
Devops Tools
DevSecOps
Engineer
Engineering
Engineering Software
ETL
Informatica
Information Technology (IT)
Infrastructure As Code
Kubernetes
Machine Learning
Machine Learning Engineer
Machine Learning Platform
Microsoft Azure
Ml Ops
Platform Engineering
Programming Language
Programming Languages
Security Automation
Security Devops
Software Development
Spark
SQL
Job Description
Build scalable data platforms and production-grade machine learning capabilities in a Microsoft Azure environment as part of Cognizant’s Data Engineering team.
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 using CI/CD pipelines and MLOps practices
- Monitor, troubleshoot, and optimize data and machine learning workloads for performance, reliability, and scalability
- Collaborate with engineering and data science teams to turn business and technical requirements into production-ready solutions
Requirements
- 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, including experience working across cross-functional teams
Technologies
- Microsoft Azure, Databricks, Synapse Analytics, Data Lake
- CI/CD, MLOps, Python, SQL, Scala
- Apache Spark, Azure Data Factory, MLflow
- Docker, Kubernetes, Azure Kubernetes Service (AKS)
- Delta Lake, Parquet
- Infrastructure as code, orchestration frameworks, cloud monitoring tools
- SAP Change Data Capture (CDC)
Standout skills (optional)
- 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
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
Work model
- Onsite role in Mason, OH
- 5 days a week in a client or Cognizant office in Mason, Ohio
Salary and compensation
- Annual salary: $130,000 - $150,000 (depending on experience and qualifications)
- Eligible for Cognizant’s discretionary annual incentive program (based on performance and subject to plan terms)
- Applications accepted until November 08, 2026
Similar Jobs
S
