Businesses are hungrier than ever to hire Data Engineers. Between mid-2018 and mid-2019, demand for Data Engineers grew by $88.3% and this growth is just the beginning.
Why? Because there's more data created daily than ever before. Data is powerful, but only if you can do something with it. Data Engineers create the data pipelines so Data Scientists can pull valuable insights from the data. Your work drives key product and business decisions.
Design, develop and operate high-performance, large-volume data structures for data-powered products and data science
Implement efficient, distributed, and scalable pipelines and integrate data from multiple sources to common data models
Collaborate with Product Managers, Software Engineers, and Data Scientists
Implement design patterns that support data ingestion, data movement, transformation, aggregation, and much more
Build and automate Machine Learning workflows for experimentation tracking, model performance, and operationalization
Skills You'll Need
ETL (Extract Transformation Loading)
Expert in writing highly-optimized complex SQL queries across large datasets
Scripting, Reporting, and Data Visualization
Conceptual Understanding of Machine Learning
Experience with big data technologies such as Spark, Databricks, Hive, etc.
Experience in core languages such as Python, Scala, or Java
Experience with big data design patterns and distributed computing tools/frameworks
Proven expertise building big data pipelines (batch processing, real-time streaming)
Understanding of data architectures and principles
Knowledge of data security and authentication protocols
Industries You'll Work In
The Network You'd Build
Here are a few real-word examples of jobs and people working in this industry right now.