Python-Snowflake Data engineer Cognizant · Hartford, CT Posted yesterday

QuickCruit; Hartford (CT); Hybrid; USD 120,000 - 170,000; Full time

Job summary

QuickCruit is seeking a senior developer with 6-10 years of experience to design and build data solutions using Python and Snowflake in a hybrid work model. The role focuses on creating scalable data pipelines and robust Snowflake SQL tasks to support complex analytics for enterprise clients, with added value if experience in property and casualty insurance data.

The position emphasizes building reusable Python modules, optimizing Snowflake workloads, implementing monitoring, and collaborating

Qualifications

• 6–10 years of experience designing and developing data solutions.
• Proficient in Python and Snowflake platforms for analytics and reporting.
• Experience delivering scalable data pipelines with reliable ETL/ELT processes.

Responsibilities

• Design and implement scalable data processing solutions using Python to transform raw data into analytics-ready assets.
• Develop and optimize Snowflake SQL queries and tasks for warehousing and reporting needs.
• Build batch and near real-time data pipelines moving data across systems with accuracy.
• Create reusable Python modules and frameworks to standardize ingestion, transformation, and validation.
• Tune Snowflake workloads, clustering, and resource usage for predictable performance.
• Implement monitoring and alerting for Snowflake tasks and Python jobs to minimize downtime.
• Collaborate with data architects, analysts, and product partners to translate requirements into designs.
• Document data models, data flows, and pipeline logic for maintenance.

Skills

Python

Snowflake

Data pipelines

Data warehousing

Job description

This role is for a senior developer with six to ten years of experience who designs and develops data solutions using Python and Snowflake platforms in a hybrid work model. The role focuses on building scalable data pipelines and robust Snowflake SQL tasks to support complex analytics for enterprise clients, with added value if the individual has experience in property and casualty insurance data.

• Design and implement scalable data processing solutions using Python that transform raw data into reliable assets for analytics and reporting
• Develop and optimize complex Snowflake SQL queries and tasks that support enterprise data warehousing and operational reporting needs
• Build resilient batch and near real time data pipelines that move data efficiently across systems while maintaining accuracy and consistency
• Create reusable Python modules and frameworks that standardize data ingestion transformation and validation patterns across multiple projects
• Optimize Snowflake workloads by tuning queries managing clustering strategies and improving resource usage to deliver predictable performance
• Implement robust monitoring and alerting for Snowflake tasks and Python jobs to detect issues early and reduce downtime for data consumers
• Collaborate with data architects analysts and product partners to translate business requirements into technical designs and implementation plans
• Document data models data flows and pipeline logic clearly so that teams can maintain troubleshoot and