Senior Data Engineer

🕒 July 29

🌵 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

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Design and implement secure data integration solutions for operations and analytics, including high-performing ETL/ELT solutions • Perform root cause analysis on data sets and processes to answer business questions and identify improvement opportunities • Build and maintain KPI dashboards to measure and track results and drive business decisions • Integrate reports, audits, and processes from various business systems • Advocate for data quality and increase awareness of data stewardship and data governance concepts • Assist with defining and maintaining data business rules, policies, and governance • Collaborate with the Data Architect on project goals and approach • Assist peers and data engineers to maintain team productivity and efficiency • Work with QA and development peers to review and test code changes • Design and build tools and processes that help clients derive meaningful insights from data • Help clients understand data needs and use data to reach business goals • Mentor data engineers

🎯 Requirements

• Minimum eight years of progressive responsibility as a Data Engineer or Data Integration Developer • Advanced SQL skills • Experience with Microsoft Fabric Lakehouse, Fabric Warehouse, Azure SQL Database, Azure Synapse Analytics, and large-scale structured and semi-structured datasets • Knowledge of Artificial Intelligence and Machine Learning capabilities within Microsoft Fabric, Azure Machine Learning, Azure AI Services, and Python-based data science solutions • Work history developing interactive dashboards and data visualizations using Power BI, Fabric Real-Time Intelligence, and Power BI Service • Experience designing, implementing, and supporting cloud-native data platforms using Microsoft Fabric, Microsoft Azure, OneLake, Azure Data Lake Storage Gen2, and Azure data services • Strong background with 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 with Agile, Scrum, DevOps, or DataOps methodologies, including Azure DevOps for project management, CI/CD, and deployment automation • Experience with data governance, security, and compliance solutions including Microsoft Purview, Azure 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 • Must reside in Wisconsin, Illinois, Iowa, Michigan, Ohio, Indiana, North Carolina, Arkansas, Arizona, Florida, or South Dakota at the time of application • Required travel to the corporate location for new hire orientation and onboarding

🏖️ 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.