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.
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
Zusätzliche Informationen zur Beschäftigung
Die Vergütungsinformationen sind zum Zeitpunkt der Veröffentlichung dieser Stellenausschreibung korrekt. Cognizant behält sich das Recht vor, diese Informationen jederzeit unter Beachtung der geltenden gesetzlichen Bestimmungen zu ändern.
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