Senior Data Engineering & Ops Lead — Snowflake & AWS

Shelter Insurance Companies; New York (NY); On-site; USD 114,000 - 141,000; Full time

Benefits offered by this job

Health, dental, vision insurance

401(k) Savings and Profit Sharing

Paid time off

Wellness program

Dress for Your Day

Flexible scheduling

Job summary

Shelter Insurance Companies is seeking a Data Engineering & Operations Lead to oversee data warehouse operations, architecture, and optimization. The role requires expertise in Snowflake, AWS, and Qlik tools, with a focus on scalable data solutions and analytics.

You'll lead design and implementation efforts, collaborate with cross-functional teams, and ensure data quality, governance, and security across the data stack.

Qualifications

• Bachelor’s or Master’s degree in CS/IS preferred.
• 7+ years data engineering experience required.
• Proficiency with Snowflake, AWS/Azure, and Qlik tools.
• Strong SQL and scripting (Python/PowerShell).
• Knowledge of dbtLabs, Astronomer, GitHub preferred.

Responsibilities

• Architect and maintain data warehouse operations.
• Ensure scalable data storage, processing, and analytics using Snowflake, AWS, and Qlik.
• Collaborate with cross‑functional teams and stakeholders.
• Ensure data quality, governance, and security across data stack.

Skills

Snowflake

AWS

Azure

Data modeling

ETL

Data warehousing

SQL

Python

PowerShell

Qlik Replicate

Qlik Compose

DBTLabs

Astronomer

GitHub

dbtLabs

Communication

Education

Bachelor’s or Master’s degree in Computer Science / Information Systems

Tools

Qlik Replicate

Qlik Compose

DBTLabs

Astronomer

GitHub

Job description

Shelter Insurance Companies is seeking a Data Engineering & Operations Lead to oversee data warehouse operations, architecture, and optimization. The role requires expertise in Snowflake, AWS, and Qlik tools, with a focus on scalable data solutions and analytics.

You'll lead design and implementation efforts, collaborate with cross-functional teams, and ensure data quality, governance, and security across the data stack.