Data Engineer

EXL Talent Acquisition Team; United States; Hybrid; USD 94,000 - 145,000; Full time

Job summary

Fabric Analytics is seeking a Data Engineer for a hybrid role based in Newark, NJ. The position focuses on designing and implementing end-to-end data solutions using Microsoft Fabric components, including Data Factory, Lakehouse, and OneLake, to support large-scale datasets across insurance-like domains.

The role involves creating scalable data models, reusable architectures, and efficient ingestion pipelines while optimizing performance and costs in Azure and Fabric environments.

Qualifications

• Architect and implement end-to-end data solutions across Fabric components.
• Design scalable data models and storage strategies for insurance-like datasets.
• Create blueprints and reusable frameworks aligned with enterprise standards.

Responsibilities

• Architect and implement end‑to‑end data solutions using Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Real‑Time Analytics, and OneLake.
• Design scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information.
• Create architectural blueprints, reference architectures, and reusable frameworks that align with enterprise engineering and cloud standards.
• Develop and manage ingestion pipelines using Fabric Data Factory, enabling batch, real‑time streaming, and API‑based data integrations.
• Build Lakehouse‑centered architectures to support analytics, reporting, and machine learning workloads.
• Optimize data pipelines for performance, reliability, and cost across Azure and Fabric environments.

Tools

Microsoft Fabric Data Factory and Lakehouse

Real-Time Analytics

OneLake

Azure

Job description

Fabric Analytics Data Engineer
Hybrid; Newark, NJ
$94k - $145k plus bonus
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

Role & Responsibilities Overview:

• Architect and implement end‑to‑end data solutions using Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Real‑Time Analytics, and OneLake.
• Design scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information.
• Create architectural blueprints, reference architectures, and reusable frameworks that align with enterprise engineering and cloud standards.
• Develop and manage ingestion pipelines using Fabric Data Factory, enabling batch, real‑time streaming, and API‑based data integrations.
• Build Lakehouse‑centered architectures to support advanced analytics, reporting, and machine learning workloads.
• Optimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments.