Senior Python & Snowflake Data Engineer — Hybrid

QuickCruit

Hartford (CT)

Hybrid

USD 120,000 - 170,000

Full time

6 days ago

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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.