Data Engineer

Responsibilities

You will design, develop, and maintain modern data solutions and pipelines within the Microsoft Fabric ecosystem to support client business needs. This involves collaborating with architects and stakeholders to build reliable data products, perform data transformations, and ensure data quality and governance.

Requirements

Candidates should have 2 to 5 years of experience in data engineering or platform delivery with strong proficiency in SQL and Python. A solid understanding of ETL/ELT concepts, cloud data technologies, and the ability to communicate technical solutions to diverse audiences is required.

Skills

• Microsoft Fabric
• Data Engineering
• SQL
• Python
• PySpark
• ETL
• ELT
• Data Warehousing
• Dimensional Modeling
• Power BI
• Azure
• Data Pipelines
• Microsoft Purview
• Git
• DevOps
• Cloud Security

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Unlimited PTO
• Remote or hybrid working environment
• 401k Match
• StayWell Program

About this role

About the position:

Velosio is seeking a Microsoft Fabric Data Engineer to support the design, development, and delivery of modern data solutions across the Microsoft ecosystem.
As a Data Engineer at Velosio, you will work alongside senior engineers, architects, analysts, and client stakeholders to build reliable data pipelines, organize and transform data, support Microsoft Fabric environments, and help deliver business-ready data products. This client-facing role is well suited for an early- to mid-career engineer who has a strong technical foundation, enjoys solving practical data problems, and wants to continue developing their consulting, architecture, and Microsoft Fabric expertise.

Your day might look like:

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, clearly 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.
How success will be measured:
Data pipelines, transformations, and integrations are accurate, reliable, tested, documented, and delivered on schedule.
Technical work follows established architecture, security, governance, and development standards.
Issues, dependencies, risks, and questions are raised early and communicated clearly to project leads and client teams.
Documentation and knowledge-transfer materials are complete, practical, and easy for others to use.
The engineer works effectively with senior technical resources, takes ownership of assigned deliverables, and requires progressively less day-to-day direction.
The engineer continues to expand their Microsoft Fabric and Azure capabilities and applies new skills to client delivery.

What you'll bring:

2 to 5 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, preferably Python. Exposure to PySpark is helpful.
Understanding of ETL and ELT concepts, data warehousing, dimensional modeling, APIs, file-based integrations, and common data-loading patterns.
Experience with one or more Microsoft Fabric capabilities such as OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, notebooks, or Power BI is preferred.
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.
Exposure to data governance, lineage, cataloging, quality, or Microsoft Purview is helpful.
Clear written and verbal communication skills, including the ability to document technical work and explain issues to technical and nontechnical audiences.
Strong problem-solving skills, attention to detail, curiosity, accountability, and a willingness to ask questions and learn from senior team members.
Ability to manage assigned tasks across multiple priorities and communicate progress, blockers, and risks in a timely manner.
Consulting, professional services, or client-facing project experience is preferred but not required.
Exposure to Power BI semantic models, DAX, Direct Lake, Azure AI Search, Microsoft Foundry, Azure OpenAI, or AI-ready data patterns is a plus.
Microsoft certifications such as DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric, DP-600: Implementing Analytics Solutions Using Microsoft Fabric, or relevant Azure fundamentals credentials are preferred or may be pursued after hire.

Who we are:

At Velosio, we focus on what matters...

About Velosio

IT Services and IT Consulting · 501-1,000 employees · headquartered in Atlanta, Georgia · founded 1984