Data Engineer – AI Focused

November 22

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Logo of Shermco Industries

Shermco Industries

B2B • eCommerce • Media

Shermco Industries is a digital marketing agency based in Hiawatha, Iowa, specializing in a wide array of services including digital advertising, website design, e-commerce development, social media marketing, and media production. They focus on creating effective marketing strategies tailored to the unique needs of their clients across various industries, with a commitment to enhancing brand visibility and driving growth. Their expertise also extends to graphic design, event production, and content creation, making them a versatile partner for businesses seeking comprehensive marketing solutions.

1001 - 5000 employees

Founded 1974

🤝 B2B

🛍️ eCommerce

📱 Media

📋 Description

• Own and build end-to-end data pipelines within Microsoft Fabric. • Ingest and transform data from ERP systems (e.g., Business Central using SQL, APIs, or OData). • Deliver reliable, validated, well-structured datasets for analytics and operational needs. • Build clear, analytics-ready datasets inside Fabric Lakehouse/Warehouse architecture. • Prepare training datasets, run models, evaluate outcomes, and integrate results back into pipelines and analytics products. • Implement testing, validation, error handling, and monitoring across pipelines and models. • Work with teammates focused on BI, database engineering, and business analysis to deliver complete data solutions. • Stay current with Microsoft Fabric and Azure AI advancements.

🎯 Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field or equivalent professional experience. • 3–7+ years of hands-on experience in data engineering, analytics engineering, or applied machine learning. • Deep experience with SQL and Python for data ingestion, transformation, and integration. • Experience with Microsoft Fabric or Azure data ecosystem tools (Data Factory, Synapse, ADLS, Databricks). • Proven ability to extract, transform, and model data from ERPs, SaaS systems, APIs, and file-based sources. • Familiarity with Spark for larger-scale transformations. • Experience applying AI/ML techniques in real-world scenarios (regression, forecasting, classification, NLP, enrichment, etc.). • Ability to work autonomously and collaborate within a small, multi-disciplinary team. • Experience working in iterative frameworks (Agile, Scrum, or similar) using Jira or equivalent tools.

🏖️ Benefits

• EQUAL OPPORTUNITY EMPLOYER • DRUG-FREE WORKPLACE

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