Data Pipeline & Analytics Engineer

Cw; United States; Remote; USD 106,000 - 125,000; Full time

Benefits offered by this job

Health, vision, and dental insurance

Retirement savings plans

Paid time off

Job summary

Cushman & Wakefield is seeking a Data Analytics Engineer to build and maintain scalable data pipelines, models, and datasets for analytics and decision support across client accounts. You will own ingestion, transformation, and data quality, partnering with the Portfolio Advisory Group to deliver reliable insights.

Responsibilities span data engineering, modeling, quality governance, and BI enablement using Power BI or similar platforms.

Qualifications

• 3–4+ years of data engineering or analytics engineering experience.
• Hands-on experience with Databricks or Microsoft Fabric.
• Proven ability to build and troubleshoot ETL/ELT pipelines.
• Strong SQL, data transformation, and data modeling skills.
• Experience preparing structured datasets for BI, dashboards, and reporting.
• Understanding of data quality, governance, and data management.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines from multiple sources.
• Build scalable data structures and models for analytics and dashboards.
• Translate requirements into practical data engineering solutions.
• Automate data processes and improve data quality and governance.
• Support dashboard development using Power BI or similar tools.

Skills

SQL

Data pipelines

Data modeling

Power BI

Python

Communication

Analytical thinking

Education

Bachelor’s degree in Computer Science, Data Engineering, or related field

Tools

Databricks

Microsoft Fabric

Tableau

Esri/ArcGIS

Job description

Cushman & Wakefield is seeking a Data Analytics Engineer to build and maintain scalable data pipelines, models, and datasets for analytics and decision support across client accounts. You will own ingestion, transformation, and data quality, partnering with the Portfolio Advisory Group to deliver reliable insights.

Responsibilities span data engineering, modeling, quality governance, and BI enablement using Power BI or similar platforms.