Data Engineering Job Market Trends

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Artificial Intelligence Engineer

800-1.6K
Employers
+14%
Growth

Develops and implements AI models and algorithms to solve complex problems and improve decision-making processes. Essential for advancing automation and technology-driven solutions in various industries.

AI Engineer

1.75K-3.5K
Employers
+5%
Growth

AI Engineers develop and implement cutting-edge artificial intelligence systems, integrating machine learning and data processing techniques to address complex challenges.

AWS Certified

1.5K-3K
Employers
-1%
Growth

A certification program by Amazon Web Services that validates expertise in cloud services and solutions.

dbt

2K-4K
Employers
-4%
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.

Databricks

3K-6K
Employers
-6%
Growth

A unified data analytics platform that provides tools for data engineering, data science, and machine learning, built on Apache Spark.

Python Software Engineer

1.25K-2.5K
Employers
-7%
Growth

Specializes in developing software applications using the Python programming language. Often involved in designing, coding, testing, and deploying software solutions.

Data Integration

5K-10K
Employers
-7%
Growth

Refers to the process of combining data from different sources to provide a unified view and enable comprehensive analysis.

GraphQL

2K-4K
Employers
-7%
Growth

A query language for APIs and a runtime for executing those queries, enabling clients to request exactly the data they need from a server.

Business Information Technology

500-1K
Employers
-7%
Growth

Integration of advanced computing technologies in business operations to enhance efficiency and innovation. Aims to leverage data and information systems to support decision-making and strategy.