Data Modeling Job Market Trends

Every month we send out a newsletter with the latest trends.

Power Platform Developer

500-1K
Employers
+156%
Growth

A professional specializing in the development of applications using Microsoft's Power Platform suite, which includes tools like PowerApps, Power Automate, and Power BI. This role focuses on enabling business process automation and data-driven decision-making through custom solutions.

Azure Data Engineer

600-1.2K
Employers
+152%
Growth

Role focused on designing and implementing data solutions using Azure cloud services. Key responsibilities include managing data pipelines, ensuring data integrity, and optimizing performance.

Lead Data Engineer

800-1.6K
Employers
+132%
Growth

A senior-level role focusing on designing and managing the architecture of data systems. Responsible for leading data engineering teams and ensuring data solutions meet business needs.

dbt

5K-10K
Employers
+129%
Growth

An open-source analytics engineering tool used to transform raw data into structured data models for analysis. It simplifies the process of data transformation and modeling by allowing users to write transformations in SQL.

Salesforce Architect

700-1.4K
Employers
+117%
Growth

A professional who designs and implements advanced Salesforce solutions for organizations. Ensures alignment of Salesforce systems with business objectives to optimize productivity and efficiency.

Sap ABAP

1.5K-3K
Employers
+117%
Growth

Advanced Business Application Programming (ABAP) is a programming language used for developing applications on the SAP platform.

Neo4J

800-1.6K
Employers
+102%
Growth

An open-source graph database management system designed to store and manage complex relationships between data.

Predictive Analytics

4K-8K
Employers
+99%
Growth

Uses statistical techniques and machine learning to analyze historical data and make predictions about future events or trends.

Analytics Engineer

1.25K-2.5K
Employers
+87%
Growth

Builds and maintains data pipelines and analytics infrastructure, enabling organizations to collect, process, and analyze data effectively.