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
