Sr. Snowflake Python Developer (Hybrid)

About the role

As a Senior Developer – Snowflake & Python, you will make an impact by designing, developing, and maintaining high‑quality data pipelines that support business‑critical analytics and data operations. You will be a valued member of the data engineering team and work collaboratively with cross‑functional stakeholders across technology, analytics, and product teams.

In this role, you will:

• Develop, test, and maintain ETL pipelines using Snowflake, Python, and the M&T framework (Data Butler).
• Design and implement scalable data pipeline solutions leveraging Snowflake Tasks, Snowpark, Streams, SnowSQL, and Snowpipe.
• Manage code repositories and perform version control and code check‑ins using GitLab.
• Collaborate with teams to gather requirements and deliver high‑quality data solutions.
• Troubleshoot and resolve pipeline, application, and data‑warehouse issues while performing validation testing to ensure data integrity.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2-3 days/week in a client or Cognizant office . Regardless of your working arrangement, we support a healthy work‑life balance through our wellbeing programs.

The working arrangements for this role are accurate as of the date of posting and may change based on project, business, or client requirements. We will always communicate role expectations clearly.

What you need to have to be considered

• 9–12 years of experience in data engineering or software development.
• Strong expertise in Snowflake data warehousing, including Tasks, Snowpark, Streams, SnowSQL, and Snowpipe.
• Proven hands‑on experience developing applications and ETL processes using Python.
• Proficiency using GitLab for version control and code management.
• Excellent problem‑solving skills and attention to detail.
• Ability to work both independently and collaboratively in a fast‑paced environment.
• Strong communication and stakeholder‑management skills.

These will help you stand out

• Knowledge of Informatica.
• Experience with additional data‑warehousing solutions or ETL tools.
• Familiarity with Agile development methodologies.
• Experience contributing to continuous improvement and optimization in data engineering environments.

We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply—even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.

Salary and Other Compensation:

Applications will be accepted until March 23, 2026,

The annual salary for this position is between $ 80,000 - $ 120,000 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.