Data Engineer

Job Title: Data Engineer Location: Onsite St. Louis, MO or Mt. Sterling, IL (Must relocate to St. Louis before Day 1 relocation at own expense) Term: 1+ Year Contract (Possible Conversion after 6 Months) Role Overview Dot Foods is seeking a Data Engineer who is analytical, detail-oriented, and enjoys solving complex data challenges. This role involves designing, testing, and maintaining scalable data pipelines to support advanced analytics and business intelligence initiatives. The ideal candidate will be a strong communicator, eager to grow long-term with the company. Key Responsibilities Design, develop, and maintain data pipelines for analytics and reporting Automate data extraction, transformation, and loading (ETL/ELT) processes from diverse sources such as APIs, databases, and legacy systems Build and optimize Snowflake Data Warehouses ensuring security, performance, and governance Develop and maintain Python-based automation scripts and integration workflows Collaborate with business and IT teams to improve data accessibility and system efficiency Support machine learning/AI data pipelines and cloud-based data operations Apply Lean and Agile methodologies to continuously improve data engineering processes Required Qualifications Bachelor's degree in Computer Science, IT, or related field 3+ years of experience as a Data Engineer (SQL, Data Warehousing, Analytics) 1+ year of hands-on experience with Snowflake 3+ years of experience with Python 1+ year of experience with Azure or other cloud platforms (AWS/GCP) Strong communication and interpersonal skills with fluent, professional English Must be willing to relocate to St. Louis, MO and work onsite Preferred Skills Experience with IBM Cloud, DataStage, DB2, watsonX.ai, or Supply Chain systems Snowflake Data Engineer Certification is a plus Strong project planning and documentation skills Ability to work independently and in a collaborative team environment Thanks & Regards Rahber Hussain US IT Recruiter Email : rahber@kanakits.com