Senior Data Engineer

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🔥 2 minutes ago

🌵 Arizona, Florida, +7 more states – Remote

🌵 Arizona – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🚗 Michigan – Remote 🗿 South Dakota – Remote 🧀 Wisconsin – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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SysLogic, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

SysLogic, Inc. is an information systems consulting and services firm established in 1995. The company is dedicated to helping clients improve efficiency and reduce costs by optimizing processes and technology solutions. SysLogic provides strategic direction and tactical execution to align businesses with industry initiatives and technical innovation, with a focus on areas such as business and technology strategy, cybersecurity, enterprise architecture and application development, and data management. SysLogic works with partners like AWS and Microsoft to deliver solutions in IT strategy, cybersecurity, data analytics architecture, and custom application development.

📋 Description

• Designs and implements secure data integration solutions for operations and analytics, leveraging best practices to design and implement high-performing ETL/ELT solutions • Performs root cause analysis on data sets and processes to answer specific business questions and identify opportunities for improvement • Builds and maintains KPI dashboards to disseminate information to measure/track results and drive business decisions • Integrate reports, audits, and processes from various business systems • Advocates for data quality and increases awareness of data stewardship and data governance concepts among data producers and consumers • Assist with defining and maintaining business rules, policies, and governance for data • Collaborates with Data Architect on project goals and approach • Assist peers and data engineers as needed, to keep the team as productive and efficient as possible • Work with QA and development peers to review and test code changes

🎯 Requirements

• A minimum of eight years of progressive responsibility working as a Data Engineer or Data Integration Developer. • Advanced SQL skills with experience working with Microsoft Fabric Lakehouse, Fabric Warehouse, Azure SQL Database, Azure Synapse Analytics, and large-scale structured and semi-structured datasets • Knowledge to leverage Artificial Intelligence and Machine Learning capabilities within Microsoft Fabric, Azure Machine Learning, Azure AI Services, and Python-based data science solutions • Referenceable work history developing interactive dashboards and data visualizations using Power BI, Fabric Real-Time Intelligence, and Power BI Service • Demonstrated capabilities designing, implementing, and supporting cloud-native data platforms utilizing Microsoft Fabric, Microsoft Azure, OneLake, Azure Data Lake Storage Gen2, and Azure data services • Strong background working with data integration and orchestration tools including Microsoft Fabric Data Factory, Azure Data Factory, Fabric Pipelines, and related ETL/ELT technologies • Experience designing and implementing enterprise data models, dimensional models, data warehouses, Lakehouse architecture, and semantic models within Microsoft Fabric • Direct work history working within Agile, Scrum, DevOps, or DataOps development methodologies, including Azure DevOps for project management, CI/CD, and deployment automation • Experience with data governance, security, and compliance solutions including Microsoft Purview, Azure role-based access control (RBAC), and Fabric security models • Ability to collaborate with business stakeholders, data engineers, analysts, and solution architects to define data requirements and deliver scalable analytics solutions • Willingness to travel four to six times per year with no more than 24 days away from home in a calendar year.

🏖️ Benefits

• Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k) • Life Insurance (Basic, Voluntary & AD&D) • Paid Time Off (Vacation, Sick & Public Holidays) • Family Leave (Maternity, Paternity) • Long Term Disability • Training & Development • Work Life Balance • No company politics. • Strong employee focused culture.