About the role
As a Sr. Python and Snowflake Developer, you will make an impact by designing, developing, and optimizing scalable cloud-based data solutions that support enterprise analytics, reporting, and business decision-making. You will be a valued member of the Data Engineering team and work collaboratively with architects, developers, business stakeholders, and cross-functional technology teams to deliver high-quality data products and modern data platforms.
In this role, you will:
- Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake, Python, and SQL.
- Build and optimize data ingestion, transformation, and integration solutions from multiple structured and semi-structured data sources.
- Develop and manage Snowflake databases, schemas, tables, views, streams, tasks, stages, and stored procedures to support enterprise data initiatives.
- Monitor, troubleshoot, and enhance data pipelines through performance tuning, data quality controls, and production support best practices.
- Mentor junior engineers and contribute to engineering excellence through code reviews, technical guidance, documentation, and CI/CD best practices.
Work model
At Cognizant, we strive to provide flexibility wherever possible and are committed to supporting a healthy work-life balance through our wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days per week in a client or Cognizant office in Buffalo, New York.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you are 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
- 7+ years of experience in data engineering, ETL/ELT development, data warehousing, or related software engineering roles.
- Strong hands-on experience designing and developing solutions using Snowflake.
- Advanced proficiency in Python for data processing, automation, API integration, and pipeline development.
- Advanced SQL expertise, including complex joins, CTEs, window functions, query optimization, and large-scale data processing.
- Experience building and supporting data pipelines using structured and semi-structured data formats such as CSV, JSON, Parquet, and XML.
- Proven experience implementing data quality, reconciliation, monitoring, logging, and exception-handling frameworks.
- Strong troubleshooting, root cause analysis, and production support capabilities.
- Experience with Git-based development practices and CI/CD deployment pipelines.
- Working knowledge of Snowflake security concepts, including RBAC, roles, privileges, secure views, and data access controls.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent professional experience.
These will help you stand out
- Experience working with Oracle, SQL Server, cloud storage platforms, and REST APIs.
- Hands-on experience with Snowflake features such as Streams, Tasks, Snowpipe, Stages, and warehouse optimization.
- Experience designing highly available, resilient, and performance-optimized data solutions in cloud environments.
- Strong understanding of data governance, data quality frameworks, and enterprise data management best practices.
- Experience leading technical discussions, mentoring engineers, and driving adoption of engineering standards and best practices.
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 29, 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。
