Data Engineer (Microsoft Fabric)

Location: United States; remote or hybrid working environment based on location.

Company

hirify.global is a Microsoft-focused business applications and cloud services consultancy specializing in Dynamics 365, ERP, CRM, Azure, and data-driven solutions.

What you will do

• Participate in client discovery sessions, technical workshops, assessments, demonstrations, and project meetings.
• Translate business and technical requirements into practical Microsoft Fabric designs and delivery tasks with senior engineers and architects.
• Build, test, deploy, monitor, and troubleshoot pipelines and integrations using Microsoft Fabric, SQL, Python, PySpark, APIs, and orchestration tools.
• Implement medallion architectures, dimensional models, data transformations, quality controls, security, monitoring, logging, and deployment practices.
• Create technical documentation, data mappings, pipeline specifications, runbooks, testing records, and knowledge-transfer materials.
• Support data governance, lineage, cataloging, access control, Power BI integrations, business-platform integrations, and AI-ready data solutions.

Requirements

• 2–5 years of experience in data engineering, data integration, analytics engineering, business intelligence, or data platform delivery, including experience from professional, internship, consulting, or project environments.
• Hands-on experience building data pipelines, integrations, transformations, or data models.
• Working knowledge of Microsoft Fabric or comparable Azure data technologies and interest in developing deeper Fabric expertise.
• Solid SQL skills and practical experience with at least one programming language, preferably Python; PySpark exposure is helpful.
• Understanding of ETL and ELT, 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, including identities, permissions, role-based access, secrets, and data protection.
• Clear communication, technical documentation skills, problem-solving ability, attention to detail, accountability, curiosity, and the ability to manage priorities and communicate blockers and risks.

Nice to have

• Experience with OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, notebooks, or Power BI.
• Exposure to data governance, lineage, cataloging, data 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; certifications may also be pursued after hire.

Culture & Benefits

• Remote or hybrid working environment based on location.
• Unlimited PTO, medical, dental, and vision insurance options, including company contributions to an HSA.
• 401(k) match of 50% of the first 6% and a StayWell wellness reimbursement of up to $600 per year.
• Career development resources, training, certification opportunities, and day-to-day flexibility.
• Values-driven employee experience focused on collaboration, career growth, and professional development.