Senior Data Engineer

Title: Senior Data Engineer
Location : Jacksonville, FL
Target Start Date : 5/1/25
Type: Direct Hire

Why Join?

• Dynamic and Collaborative Culture
• State-of-the-Art Facilities
• Commitment to Innovation
• Employee Well-Being and Development
• Growing Business with a Meaningful Mission

Senior Data Engineer

Key Responsibilities

Data Architecture & Design

• Validate and enhance the existing architecture and design for a newly built enterprise data warehouse (EDW)
• Collaborate with leadership to drive decisions around structure, scalability, and performance
• Contribute both strategic input and hands-on execution throughout the platform build

Data Infrastructure & Pipeline Development

• Design, build, and optimize robust ETL/ELT pipelines using modern data tools
• Support high-volume data ingestion and transformation within Microsoft Fabric and SQL Server
• Ensure reliability, accuracy, and performance across data workflows

Data Warehousing

• Help establish core EDW structures from the ground up
• Implement best practices in partitioning, indexing, and data modeling to ensure scalability
• Optimize for analytical and reporting performance

Database Management

• Manage and maintain SQL Server environments
• Ensure data quality, governance, and security protocols are upheld
• Work closely with SAP data as part of the integration strategy

Data Integration & Transformation

• Integrate data from various systems including SAP and other business applications
• Perform data cleansing, modeling, and enrichment tasks
• Leverage APIs and connectors to unify disparate datasets

Governance & Documentation

• Adhere to data governance and compliance requirements
• Maintain technical documentation, process flows, and architectural decisions

Collaboration & Support

• Partner with business analysts, data consumers, and IT stakeholders to align on data needs
• Provide support, mentoring, and guidance to other engineering team members as needed

Performance Optimization

• Monitor system performance and proactively address bottlenecks
• Identify opportunities to improve cost-efficiency and scalability

Qualifications

Education & Experience

• Bachelor's degree in Computer Science, Information Systems, or a related field-or equivalent experience
• Proven experience in data engineering with a track record of contributing to data warehouse architecture and build-outs
• Experience working in Microsoft-centric environments, especially with Microsoft Fabric and SQL Server
• Prior work with SAP data sources is a strong plus

Technical Skills

• Strong command of T-SQL and data modeling concepts
• Familiarity with cloud-based data services (Azure, Microsoft Fabric)
• Experience with data pipeline tools like Azure Data Factory or similar platforms
• Preferred: exposure to Power BI, Git, or Python scripting

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