DATA ENGINEER - HYBRID

Overview

Location: Whitehall, Michigan or Witchita, Texas (Hybrid schedule- 3 in, 2 out)

Job Type: Contract to hire / Permanent

Work Authorization: No Sponsorship

The A.C.Coy Company has an immediate opening for a mid level Data Engineer. Ideal candidates must have 3-5 years of designing and developing enterprise data, analytics, or BI solutions and design. Key technical skills are Azure Synapse, Python/Pyspark, SQL.

Responsibilities

• Collaborating closely with data scientists, data analysts, and IT counterparts to design the data pipelines required to fulfill the AI and analytical needs of a large manufacturing enterprise
• Modeling, building and optimizing complex scalable ETLs and data pipelines to grow and support on-premise and cloud based data warehouses and data lakes using SQL and Azure technologies
• Implementing processes and systems to ensure data quality and optimal pipeline and model performance over time
• Providing business analysts with support for data model and query design/tuning for tools such as Power BI and Python scripts
• Design, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI-enabled data platforms across cloud and hybrid environments
• Design and develop ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar technologies
• Design scalable data models and integration patterns to support enterprise analytics and AI initiatives
• Establish event-driven, streaming, batch, and API-based integration patterns across enterprise systems
• Build and maintain data integration pipelines for plant, business unit, or enterprise applications
• Implement data validation, monitoring, quality controls, and data governance best practices
• Develop reusable semantic models, datasets, and data products that enable self-service analytics
• Optimize Power BI performance, data refresh processes, and security, including Row-Level Security (RLS) and workspace governance
• Collaborate with business stakeholders to define reporting requirements, KPIs, and analytics solutions
• Optimize SQL queries and data processing performance to ensure scalable and efficient data solutions
• Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency

Qualifications

Education:

• Bachelor’s degree in computer science, Information Systems, Data Analytics, Engineering, or a related technical field

Required Experience:

• Designing and developing enterprise data, analytics, or BI solutions - 3+ years
• Design and development of data integration, ETL/ELT, and data warehousing using Python and PySpark
• Experience with Microsoft Azure data services, Microsoft Fabric, or similar cloud data platforms Azure Data Factory/Synapse/Fabric Azure Data Lake Storage (ADLS)
• Demonstrated use of advanced SQL skills to build complex well-tuned queries to join and shape diverse datasets - Preferred
• Demonstrated experience using DevOps with GIT and CI/CD - Preferred
• Demonstrated experience using Power BI as well as DAX, Power Query, and Semantic models - Preferred
• Experience using the Azure GCC High environment for data ingestion, collection and analysis - Preferred
• Experience in Azure ML studio, Azure Foundry or AI enabled tools - Preferred
• Accomplishment of Azure Certifications DP-600 (Fabric Analytics Engineer Associate) or (DP-700 (Fabric Data Engineer Associate) - Preferred