Senior Enterprise Data Engineer

Shelter Mutual Insurance Company•Columbia, MO

45d•Onsite

About The Position

Design, implement, and maintain data pipelines, data integration solutions, and data architecture using Qlik Replicate, Compose, and DBTLabs. Additionally, expertise in Snowflake is required to ensure efficient and scalable data storage, processing, and analytics. Shelter's uncompromising commitment to excellence doesn't stop with our customers. We recognize our employees are what make us a premier organization in the insurance industry. Shelter Employees enjoy such benefits as: Health, Dental, Voluntary Vision and Prescription Drug Insurance Savings and Profit Sharing 401(k) Paid Time Off for Sick and Personal Leave, Vacation and Holidays Vitality Wellness Program "Dress for Your Day" Dress Code Flexible Scheduling And much more!

Requirements

Bachelor's or Master's degree in computer science, information systems, or a related field is preferred.
Proven experience (3+ years) as a Data Engineer, with expertise in Qlik Replicate, Compose, and DBTLabs, combined with hands-on experience in Snowflake typically required.
Proficiency in Qlik Replicate, Compose, and DBTLabs, Astronomer, Airflow, Github for data integration, replication, and transformation.
Strong understanding of data engineering principles, data modeling, ETL processes, and data warehousing concepts.
Expertise in Snowflake, including data ingestion, storage, performance optimization, and security.
Experience with cloud platforms, such as AWS or Azure, and working with cloud-based data solutions and services.
Familiarity with data quality, data governance, and data lifecycle management practices.
Solid programming skills in SQL and scripting languages (e.g., Python, PowerShell) for data manipulation and automation.
Strong problem-solving and troubleshooting abilities, with the ability to diagnose and resolve data engineering issues.
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
Ability to perform essential functions of the position, with or without a reasonable accommodation.

Responsibilities

Design, implement, and maintain data pipelines
Design, implement, and maintain data integration solutions
Design, implement, and maintain data architecture using Qlik Replicate, Compose, and DBTLabs
Ensure efficient and scalable data storage, processing, and analytics