United States onlyCBTS serves enterprise and midmarket clients in all industries across the United States and Canada. CBTS combines deep technical expertise with a full suite of flexible technology solutions--including Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, CBTS delivers comprehensive technology solutions for its clients' transformative business initiatives. For more information, please visit www.cbts.com.
Data Engineer – Microsoft Fabric (Billable, Professional Services)
Location: United States (Remote / Hybrid as applicable)
Employment Type: Full‑time
Business Unit: Data & Applied AI / Professional Services
Reports To: Data & AI Delivery Leadership
Position Overview
CBTS is seeking a Data Engineer with Microsoft Fabric expertise to support client‑facing analytics, data platform modernization, and AI initiatives. This role is responsible for designing, building, and maintaining scalable, secure, and production‑ready data pipelines using Microsoft Fabric as a core platform.
This is a billable, professional services role. The ideal candidate combines strong technical execution with the ability to work directly with clients, contribute to delivery excellence, and support CBTS’s Microsoft partnership requirements.
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines for ingestion, transformation, and storage using Microsoft Fabric (Lakehouse, Data Pipelines, Warehouses, Notebooks).
- Build scalable ETL/ELT solutions that support analytics, reporting, and AI/ML workloads.
- Implement data modeling patterns (e.g., medallion architecture, dimensional models) aligned to analytics and reporting needs.
- Ensure data quality, reliability, security, and governance across all stages of the data lifecycle.
- Collaborate with analytics engineers, data scientists, and AI engineers to enable production‑ready downstream use cases.
- Support client engagements through technical discovery, solution implementation, and knowledge transfer.
- Participate in delivery governance activities including estimation, documentation, and solution handoff.
- Track and report billable time accurately in accordance with professional services requirements.
- Contribute to reusable accelerators, standards, and best practices across the Data & AI practice.
Required Qualifications
- Microsoft Certified: Fabric Analytics Engineer Associate (DP600, DP700‑)
or willingness to obtain certification within a defined onboarding period. - 3–5+ years of hands‑on experience in data engineering or analytics engineering roles.
- Strong proficiency in SQL and Python.
- Hands‑on experience with modern data engineering frameworks and tools (e.g., Spark, notebooks, orchestration pipelines).
- Experience designing and operating cloud‑based data platforms (Microsoft Azure preferred).
- Solid understanding of data governance, security, access control, and performance optimization.
- Ability to work effectively in a client‑facing, delivery‑oriented environment.
- Strong written and verbal communication skills.
Preferred Qualifications
- Additional Microsoft certifications (Azure Data Engineer, Power BI, or related).
- Experience with real‑time or streaming data use cases.
- Familiarity with CI/CD practices for data platforms.
- Experience supporting AI/ML workloads or analytics at scale.
- Consulting or professional services background.
Why Join CBTS
- Work with enterprise clients on modern data and AI transformations.
- Be part of a growing Data & Applied AI practice aligned to Microsoft’s strategic platforms.
- Engage with cutting‑edge technologies including Microsoft Fabric, analytics, and AI.
- Clear expectations around delivery excellence, certification, and professional growth.
- Collaborative, high‑impact environment with visible leadership support.
#LI Remote
Due to U.S. Government requirements applicable to foreign-owned telecommunications providers, non-US citizens may be required to submit to an extensive government agency background check which will necessitate disclosure of sensitive Personally Identifiable Information.
