Associate Data Engineer (Microsoft Fabric)

Location: Frisco, Texas, USA

Salary: $85,910–$162,890 per year

Company

hirify.global is an advisory, tax, and assurance firm providing professional services to mid-market and enterprise clients through its U.S. practice and global network.

What you will do

• Design, build, and optimize scalable ETL/ELT pipelines using T-SQL, Python, Azure Data Factory, Microsoft Fabric Data Pipelines, and Databricks.
• Develop relational and lakehouse data models, including OneLake shortcuts, medallion-style layers, and dimensional or semantic models for Power BI.
• Implement automated data-quality checks, lineage, observability metrics, and CI/CD workflows using Azure DevOps or GitHub.
• Gather requirements, demonstrate iterative deliverables, document technical designs, and explain complex data concepts to non-technical stakeholders.
• Research new data-platform capabilities and contribute reusable engineering accelerators and internal knowledge sharing.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.
• 2–3 years of experience delivering production data solutions, preferably in consulting or client-facing environments.
• Strong T-SQL skills for data transformation and performance tuning.
• Python experience for data wrangling, orchestration, or notebook-based development.
• Hands-on ETL/ELT experience with at least one Microsoft service, such as Azure Data Factory, Synapse Pipelines, or Fabric Data Pipelines.
• Role location: Frisco, Texas, USA.

Nice to have

• Project experience with Microsoft Fabric, including OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, or Power BI DirectLake.
• Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies.
• Exposure to YAML pipelines, Terraform, Bicep, and test automation frameworks.
• Experience integrating SaaS or ERP sources such as Dynamics 365, Workday, or Costpoint.

Culture & Benefits

• Collaboration with solution architects, analysts, client stakeholders, and internal teams.
• Opportunities to develop both technical data-engineering and consulting skills.
• Comprehensive compensation and benefits package for eligible employees.
• Equal opportunity employment environment.