About the role
As a Data and Machine Learning Engineer, you will make an impact by designing, building, and optimizing scalable data platforms and machine learning solutions within a Microsoft Azure environment. You will be a valued member of the Data Engineering team and work collaboratively with data scientists, cloud engineers, architects, and cross-functional stakeholders to deliver secure, reliable, and production-ready solutions.
In this role, you will:
- 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.
Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in Mason, Ohio.
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.
What you need to have to be considered
- 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.
These will help you stand out:
- 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.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until November 08, 2026
The annual salary for this position is between $ 130,000 - $ 150,000 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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
