Data Warehouse & Cloud Ops Lead (Snowflake/AWS) - On-site

Shelter Insurance Companies

Columbia Township (MO)

On-site

USD 114,000 - 141,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
401(k) plan
Paid time off
Wellness program
Dress code
Flexible scheduling
Profit sharing

Job summary

Shelter Insurance Companies in Columbia, Missouri is seeking a Data Engineering & Operations Lead to own the data warehouse architecture, design, and maintenance using Snowflake, AWS, and Qlik tools to deliver scalable analytics.

The role requires 7+ years of data engineering experience, a Bachelor’s or Master’s in CS or related field, and strong SQL/Python data manipulation skills. This is an on-site, full-time position with a competitive salary and comprehensive benefits.

Qualifications

  • Bachelor's or Master's degree in computer science, information systems, or a related field preferred.
  • 7+ years of experience as a Data Engineering Practitioner.
  • Proficiency with Qlik Replicate, Qlik Compose, DBTLabs & Astronomer for data integration and transformation.
  • Solid understanding of data engineering, data modeling, ETL, and data warehousing concepts.
  • Snowflake expertise including ingestion, storage, performance optimization, and security.
  • Experience with AWS/Azure cloud platforms and cloud data solutions.
  • Familiarity with data quality, governance, and lifecycle management.

Responsibilities

  • Architecture, design, implementation, and maintenance of data warehouse operations using Snowflake, AWS, and Qlik tools.

Education

Bachelor's or Master's degree in computer science, information systems, or a related field

Tools

Qlik Replicate
Qlik Compose
DBT Labs
Astronomer
Github

Job description

Shelter Insurance Companies in Columbia, Missouri is seeking a Data Engineering & Operations Lead to own the data warehouse architecture, design, and maintenance using Snowflake, AWS, and Qlik tools to deliver scalable analytics.

The role requires 7+ years of data engineering experience, a Bachelor’s or Master’s in CS or related field, and strong SQL/Python data manipulation skills. This is an on-site, full-time position with a competitive salary and comprehensive benefits.

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