Data Analytics Engineer: ETL, Pipelines & Dashboards

C&W Services (S); United States; On-site; USD 110,000 - 170,000; Full time

Job summary

Cushman & Wakefield is seeking a Data Analytics Engineer to build scalable data pipelines, data models, and organized datasets that enable analytics, reporting, and business decisions across client accounts.

You will own data ingestion, transformation, integration, quality, and preparation for BI and visualization, collaborating with the Portfolio Advisory Group to translate business requirements into durable technical solutions.

Qualifications

• Approximately 3-4+ years of relevant experience in data engineering, analytics engineering, business intelligence, or a closely related field.
• Hands-on experience with Databricks or Microsoft Fabric, including practical experience developing data solutions rather than solely consuming platf

Responsibilities

• Design, develop, maintain, and troubleshoot ETL/ELT pipelines that ingest, transform, validate, and deliver data from multiple sources into centralized data platforms.
• Build and optimize data processing workflows using Databricks or Microsoft Fabric to support scalable analytics and reporting requirements.
• Automate and improve recurring data processes to strengthen pipeline performance, reliability, and operational efficiency.
• Develop structured data models to support BI, dashboards, reporting, and analytical use cases.
• Integrate data from multiple sources into accessible, consistent datasets designed for downstream consumption.
• Document data structures, transformations, and business rules to support transparency and maintainability.

Skills

ETL/ELT pipelines

Data modeling

SQL

Data quality

Data governance

Stakeholder collaboration

Tools

Databricks

Microsoft Fabric

Power BI

Job description

Cushman & Wakefield is seeking a Data Analytics Engineer to build scalable data pipelines, data models, and organized datasets that enable analytics, reporting, and business decisions across client accounts.

You will own data ingestion, transformation, integration, quality, and preparation for BI and visualization, collaborating with the Portfolio Advisory Group to translate business requirements into durable technical solutions.