Enterprise Data Engineer at Shelter Insurance Companies

Columbia, Missouri, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

98581.0

Posted On

04 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, Qlik Replicate, Qlik Compose, DBTLabs, Astronomer, Github, SQL, Python, PowerShell, ETL, Data Modeling, Data Warehousing, AWS, Azure, Data Governance, Data Integration

Industry

Insurance

Description

A company built to serve you. It's your career, Shelter it! Enterprise Data Engineer $79,518 - $98,581 / year minimum starting pay Job Level: Individual Contributor Location: Columbia, Missouri (On-site, Full-time) Shelter maintains broad salary ranges for its roles in order to account for variations in geographic location, education, training, skills, relevant work experience, business needs and market demands. Please remember that this range is the starting base pay only and does not consider other components that make up the total rewards package for the position. What You Will Be Doing: Design, implement, and maintain data pipelines, data integration solutions, and data architecture. Expertise in Snowflake is required to ensure efficient and scalable data storage, processing, and analytics. What We're Looking For: Bachelor's or Master's degree in computer science, information systems, or a related field is preferred. Proven experience (2+ years) as a Data Engineer, with expertise in Qlik Replicate, Compose, and DBTLabs, Astronomer & Github, combined with hands-on experience in Snowflake typically required. Proficiency in Qlik Replicate, Compose, and Enterprise Engineer 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. 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! Columbia, MO - Corporate Office The Shelter Insurance® group of companies is a leader in the insurance industry, providing customers with exceptional insurance and financial products and services. Since opening our doors in 1946, we have become one of the most successful and financially-sound, super-regional insurance groups in the country. We provide a variety of insurance options for our customers including auto, home, life and business insurance. We exist to be a leader in our communities by providing daily value while we SHELTER what matters most. At Shelter Insurance® you feel like part of a family. Our leaders know employees personally and support a work/life balance. We’re a financially stable company with the desire to innovate and we enjoy a unique benefits plan you won’t find many places these days. We believe in doing the right thing and having a little fun along the way, supporting the communities where we live and work.

Responsibilities

Design, implement, and maintain data pipelines, integration solutions, and data architecture. Utilize Snowflake to ensure efficient and scalable data storage, processing, and analytics.