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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
