V

Velosio

Microsoft cloud solutions provider for mid-market

Microsoft Fabric Data Engineer

Data EngineeringPosted on Nov 11
Full-timeUnited StatesNo salary listed

About the Job

Requirements

  • Two to five years of experience in data engineering, data integration, analytics engineering, business intelligence, or data platform delivery.
  • Hands-on experience building data pipelines, integrations, transformations, or data models in a professional, internship, consulting, or project environment.
  • Working knowledge of Microsoft Fabric or comparable Azure data technologies, with an interest in developing deeper Fabric expertise.
  • Solid SQL skills and practical experience with at least one programming language; Python is preferred, and PySpark exposure is helpful.
  • Understanding of ETL and ELT concepts, data warehousing, dimensional modeling, APIs, file-based integrations, and common data-loading patterns.
  • Ability to test and troubleshoot pipelines, transformations, data-quality issues, and integration failures using logs and established support processes.
  • Familiarity with Git, source control, deployment processes, or DevOps practices for data solutions.
  • Basic understanding of cloud security concepts, including identities, permissions, role-based access, secrets, and data protection.
  • Clear written and verbal communication skills, including the ability to document technical work and explain issues to technical and nontechnical audiences.
  • Ability to manage assigned tasks across multiple priorities and communicate progress, blockers, and risks in a timely manner.

Responsibilities

  • Participate in client discovery sessions and technical workshops to understand business needs, data sources, reporting requirements, and current challenges.
  • Support data and analytics assessments by documenting current-state environments, data flows, integration points, technical issues, and opportunities for improvement.
  • Work with senior engineers and architects to translate requirements into practical Microsoft Fabric designs and delivery tasks.
  • Build and maintain Microsoft Fabric solutions using OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, notebooks, and related Azure data services.
  • Develop, test, deploy, monitor, and troubleshoot data pipelines using SQL, Python, PySpark, APIs, and orchestration tools.
  • Help implement medallion architectures and dimensional models that move data through bronze, silver, and gold layers for analytics and reporting.
  • Create and maintain technical documentation, data mappings, pipeline specifications, runbooks, testing records, and knowledge-transfer materials.
  • Apply established patterns for data quality, security, access, monitoring, error handling, logging, and deployment.
  • Support data governance, lineage, cataloging, metadata, and access-control activities using Microsoft Purview and related capabilities.
  • Collaborate with Power BI developers, analytics engineers, architects, analysts, administrators, and client teams to deliver trusted data products.
  • Build and support integrations involving Microsoft Dynamics 365, Dataverse, ERP, CRM, databases, files, APIs, and other business platforms.
  • Assist with AI-ready data solutions by preparing governed, reliable data for Microsoft Foundry, Azure AI Search, data agents, and other AI scenarios.
  • Participate in client demonstrations, technical reviews, and project meetings, communicating progress, questions, risks, and recommended next steps.
  • Troubleshoot pipeline, performance, data-quality, and reliability issues, escalating complex concerns when needed.
  • Continue building expertise in Microsoft Fabric, Azure, Power BI, and AI technologies through hands-on delivery, training, and certification.

Desired Qualifications

  • Experience with one or more Microsoft Fabric capabilities such as OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, notebooks, or Power BI.
  • Exposure to data governance, lineage, cataloging, quality, or Microsoft Purview.
  • Consulting, professional services, or client-facing project experience.
  • Exposure to Power BI semantic models, DAX, Direct Lake, Azure AI Search, Microsoft Foundry, Azure OpenAI, or AI-ready data patterns.
  • Microsoft certifications such as DP-700, DP-600, or relevant Azure fundamentals credentials are preferred or may be pursued after hire.

About the Company

Velosio

Microsoft cloud solutions provider for mid-market

Velosio provides Microsoft cloud solutions for mid-market businesses. It combines services across the full Microsoft portfolio—from Dynamics 365 to Azure—into a single provider that helps companies move to the cloud, implement ERP and CRM, and manage ongoing cloud services. The product approach centers on consulting, deployment, migration, integration, and managed services for Microsoft technologies, helping mid-sized organizations adopt and scale cloud-based business solutions. Velosio differentiates itself through its scale as a large, privately-owned Microsoft partner formed by the merger of SBS Group and Socius, its breadth of Microsoft offerings, and its ability to accelerate growth via private equity-backed investments and acquisitions. The company’s goal is to be a leading, one-stop provider of Microsoft cloud solutions for mid-market customers, expanding its footprint and helping businesses transform with cloud technology.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Atlanta, GA
Founded
1984

Recently Posted Jobs

Explore more opportunities at Velosio

See more jobs