About the role
As a Senior Data Engineer – Snowflake and AWS, you will make an impact by designing and delivering scalable data solutions while modernizing legacy data platforms. You will be a valued member of the Data Engineering team and work collaboratively with architects, data scientists, and cross-functional stakeholders to drive large-scale data transformation initiatives.
In this role, you will:
- Lead end-to-end Oracle-to-Snowflake data migration initiatives, ensuring data integrity and performance optimization
- Design, build, and maintain scalable ETL pipelines and cloud-based data architectures
- Develop and optimize complex SQL queries and data models for analytics and reporting
- Leverage AI-driven tools and automation techniques to accelerate data transformation, validation, and migration processes
- Collaborate with cross-functional teams to modernize legacy systems and implement best practices in data engineering
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 through 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:
- 8+ years of experience in data engineering, including strong ETL development expertise
- Hands-on experience with Snowflake in enterprise-scale implementations
- Advanced SQL skills with experience in Oracle databases
- Solid programming experience with Python for data processing and automation
- Experience working on large-scale data migration or transformation projects
- Understanding of data pipeline design, performance tuning, and data quality best practices
- Awareness or practical exposure to AI-driven automation in data engineering workflows
These will help you stand out:
- Experience with cloud platforms (e.g., AWS, Azure, or GCP)
- Exposure to migration tools such as SnowConvert or similar solutions
- Familiarity with CI/CD pipelines and DevOps practices in data engineering
- Knowledge of modern data architecture patterns (e.g., data lake, lakehouse)
- Experience working in agile delivery 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 ideas to this role.
Salary and Other Compensation:
Applications will be accepted until June 28, 2026.
The annual salary for this position is between $ 115,000 - $ 130,000 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。
