Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
About the role
As a Data Engineer - Azure Data Factory (ADF) & Snowflake, you will make an impact by designing, building, and supporting cloud data pipelines that ingest data from multiple source systems into Snowflake using Azure Data Factory. This role covers end-to-end delivery, from source analysis and data modeling through pipeline development, performance tuning, and production support. You will be a valued member of the Data Engineering team and work collaboratively with data architects, BI teams, and business stakeholders.
In this role, you will:
• Build and orchestrate ingestion and transformation pipelines in Azure Data Factory using mapping and data flows, linked services, datasets, triggers, and parameterized, metadata-driven frameworks.
• Develop and optimize Snowflake objects including databases, schemas, tables, views, streams, tasks, stored procedures, and Snowpipe-based loads.
• Write complex SQL for transformation logic, implement SCD Type 1 and Type 2 patterns, and tune warehouse sizing, clustering, and query performance for cost efficiency.
• Integrate ADF with Azure Data Lake Storage Gen2, Azure SQL, Key Vault, Logic Apps, and Databricks or Synapse where required.
• Implement CI/CD for ADF and Snowflake through Azure DevOps or GitHub, along with monitoring, alerting, and data quality and reconciliation checks.
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 the 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.
What you need to have to be considered
• Strong hands-on experience with Azure Data Factory and Snowflake (4+ years).
• Advanced SQL and data warehousing concepts, including dimensional modeling, star and snowflake schemas, and ELT design patterns.
• Working knowledge of Azure Data Lake Storage Gen2, Azure SQL Database, and Azure Key Vault.
• Experience with Python or PySpark for data processing, along with Git-based version control and CI/CD pipelines.
• Understanding of performance tuning, cost optimization, and data security, including RBAC, masking, and row-level access policies.
These will help you stand out
• Exposure to Agile methodology.
• Experience in production support 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 September 25. 2026.
The annual salary for this position is between $115,000-$135,000 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。
