Senior Data Engineer

About Genius Business Solutions Inc. (GBSI)

Featured in CNBC, Digital Journal, Fox News, and CIO Review, GBSI is a globally recognized IT services leader with 20+ years serving Fortune 500 organizations. Our teams deliver solutions across automotive, manufacturing, retail, and pharmaceutical industries. Headquartered in Moline, IL, GBSI supports clients and consultants throughout the US, Canada, Europe, and India.

Join our innovative team to lead enterprise-grade SAP solutions and drive digital transformation initiatives across global enterprises.

We are seeking a skilled professional with strong expertise in SQL, Python, Spark, and leading AI/ML frameworks to design and build scalable, intelligent data solutions. The ideal candidate will have hands-on experience with big data platforms and distributed data processing.

• Extensive experience in SQL and databases
• Develop and optimize scalable data pipelines using Apache Spark
• Build and deploy AI/ML models leveraging modern frameworks
• Work with large datasets using platforms like Delta Lake and other big data technologies
• Manage and integrate multiple databases for efficient data processing
• Collaborate with cross-functional teams to deliver data-driven solutions

• Strong proficiency in SQL and Spark
• Experience with AI/ML frameworks (e.g., Tensor Flow, PyTorch, or similar)
• Hands-on experience with big data platforms such as Delta Lake
• Solid understanding of distributed data processing and database management

GeniusBSI is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.