Snowflake Data Engineer

New York Technology Partners; Remote; USD 60,000 - 80,000; Full time

Job summary

An established industry player is seeking a skilled data engineer with extensive experience in Property & Casualty Insurance. This role involves leading the design and implementation of data engineering solutions using Snowflake, developing data pipelines, and performing statistical analysis. You will collaborate with stakeholders to ensure data integrity and enhance performance while managing a talented engineering team in an onshore-offshore model. If you're passionate about data engineering and eager to stay ahead of industry trends, this opportunity is perfect for you.

Qualifications

• 12-15 years of experience, including 8+ years in Property & Casualty Insurance.
• Strong technical skills in SQL, Python, and Snowflake.

Responsibilities

• Lead the design and implementation of data engineering solutions on Snowflake.
• Develop and maintain data pipelines for ETL processes.

Skills

Property & Casualty (P&C) Insurance

Snowflake

SQL

Python

ETL concepts

Data Warehouse principles

Statistical analysis

Team management

Education

Bachelor's degree in Computer Science

Master’s degree in Computer Science

Tools

ETL tools

Snowflake procedures

Job description

Direct message the job poster from New York Technology Partners

• Location: Preferably New Jersey (Remote is acceptable)
• Duration: Contract (C2C)
• Experience Required: 12-15 Years (8+ Years in Property & Casualty Insurance)

Must-Have Skills:

• Insurance Expertise:
• Strong experience in Property & Casualty (P&C) Insurance
• Strong knowledge of specialty insurance
• Technical Skills:
• Proficiency in Snowflake, including data transformations, statistical analysis, and troubleshooting
• Hands-on experience with SQL, Python, and ETL concepts
• Knowledge of Data Warehouse, ELT, and ETL principles
• Snowflake certification (preferred)
• Design and build data extraction, transformation, and loading processes
• Experience in writing custom data pipelines using ETL tools or Snowflake procedures
• Data engineering with a focus on data analytics and reporting
• Proven experience in team management, especially in onshore-offshore models
• Educational Qualifications:
• Bachelor's or Master’s degree in Computer Science or a related discipline

Job Summary/Responsibilities:

• Lead the design, development, and implementation of data engineering solutions on Snowflake
• Develop and maintain data pipelines for data extraction, transformation, and loading (ETL)
• Perform statistical analysis and troubleshooting using SQL and Python
• Collaborate with stakeholders to ensure data integrity and accuracy
• Monitor and enhance data performance and processing efficiency
• Manage and mentor the engineering team within an onshore-offshore model
• Stay current with industry best practices and emerging technologies in data engineering

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology
• Industries: IT Services and IT Consulting, Staffing and Recruiting, and Insurance