IT Data Engineer

Role Overview

• Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric (including Power BI, OneLake, semantic models, and data pipelines).
• Build and maintain data models including relational, dimensional, star, and snowflake schemas.
• Ingest, transform, and orchestrate data from multiple sources (SQL, APIs, SaaS applications, streaming sources).
• Optimize data models and queries for performance, reliability, and cost efficiency.
• Create dashboards, reports, scorecards, and visualizations for operational and executive audiences.
• Collaborate with BI developers and analysts to support Power BI semantic models and reporting.
• Administer and support enterprise Fabric environments, including workspace design, security, and lifecycle management.
• Establish and enforce analytics standards and best practices within the Fabric ecosystem.
• Conduct regular data profiling and quality assessments.
• Partner with business stakeholders to gather, document, recommend, and refine analytics requirements.
• Translate business questions into actionable data solutions.
• Prepare process flows, data flow diagrams, and technical documentation.
• Support metadata management, lineage, data security, and governance controls.
• Automate deployments and data workflows using CI/CD pipelines.
• Document data architecture, pipelines, and operational processes.
• Contribute to project planning, scope definition, and milestone tracking.
• Communicate progress, risks, and dependencies to technical and business stakeholders.
• Respond to analytics-related user issues in alignment with service expectations.
• Stay current with Microsoft Fabric updates and recommend improvements.
• Other duties as assigned.

Requirements

• Bachelor's Degree in Computer Science, Data Analytics, or related field
• Minimum 5 years of work experience with SQL Databases and Power BI
• Strong experience as a Data Engineer in Azure-based environments.
• Hands-on experience with Microsoft Fabric (or strong background in Azure Synapse, Data Factory, and Power BI with readiness to specialize in Fabric).
• Familiarity with Azure services such as Azure Data Lake Storage, Azure SQL, and Azure DevOps.
• Experience with version control and CI/CD practices.
• Experience developing analytics using Power BI or comparable visualization tools.
• Extensive experience with ETL/ELT pipelines including any combination of modern tools such as SSIS, Azure Data Factory, Function Apps, Logic Apps, etc.
• Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer) a preferred

Tech Stack

• Azure
• ETL
• SQL
• SSIS

Benefits

• Health Insurance
• Flexible Spending Plan
• Health Savings Plan
• Dental Insurance
• Vision Insurance
• Paid Time Off
• Paid Sick Time
• Paid Holidays
• 401K/with matching
• Overtime Pay (when offered)