Data Engineer
Data Engineer
The average salary for Data Engineer is $124,605 / year according to Indeed.com
There are no updated reports for Data Engineer salaries. You can check potential lateral job opportunities in this information stack to find related salary information.
Data Engineer role may have an alternate title depending on the company. To find more information, you can check Indeed.com.
As a Data Engineer, you will be responsible for designing, building, and maintaining data infrastructure and systems. You will work closely with data scientists and analysts to ensure the availability, reliability, and performance of data pipelines. Strong programming and database skills are essential in this role, as you will need to write efficient code and optimize data storage and retrieval.

At a high level, a data engineer is responsible for designing and building systems that enable the collection, storage, and analysis of data. They work with a variety of technologies, including databases, data warehouses, and data processing tools, to create solutions that meet the needs of their organization.
A data engineer's most important skills include:
- The ability to design and build data infrastructure, including databases, data warehouses, and data processing tools
- The ability to work with a variety of technologies, including SQL, NoSQL, and data processing tools
- The ability to design and implement data models and data structures
- The ability to work with large data sets and to optimize data processing performance
- The ability to collaborate with stakeholders and to communicate complex ideas in a clear and concise manner
A data engineer's tasks can include:
- Designing and building data infrastructure, including databases, data warehouses, and data processing tools
- Working with a variety of technologies, including SQL, NoSQL, and data processing tools
- Designing and implementing data models and data structures
- Working with large data sets and optimizing data processing performance
- Collaborating with stakeholders and communicating complex ideas in a clear and concise manner
It's important to note that the specific tasks and responsibilities of a data engineer can vary depending on the organization and the specific needs of the role. However, the core skills and responsibilities of a data engineer are typically the same.
A data engineer is a crucial member of any organization's data team, as they are responsible for the design and build of the systems that enable the collection, storage, and analysis of data. They work with a variety of technologies, including databases, data warehouses, and data processing tools, to create solutions that meet the needs of their organization. A data engineer's most important skills include the ability to design and build data infrastructure, work with a variety of technologies, design and implement data models and data structures, work with large data sets, optimize data processing performance, and collaborate with stakeholders.
High-ROI Programs
Google Certified Professional Data Engineer

The Google Certified Professional Data Engineer is a high-ROI program designed for experienced professionals to become highly equipped with specialty skills and functional knowledge in cloud data engineering.
Microsoft Certified: Azure Data Engineer Associate
The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.
Databricks Certified Data Engineer Associate

The Databricks Data Engineer Certification program is highly sought after, designed to evaluate an individual's proficiency in utilizing the Databricks Lakehouse Platform for performing fundamental data engineering tasks.
AWS Certified Database — Specialty

The AWS Database Certification — Specialty program is intended to validate candidates' expertise in recommending, designing, and implementing AWS cloud-based relational and NoSQL database systems.
Data Engineer Career Track
This career track is designed for beginners to learn Python basics, build data architecture, streamline processing, and maintain large-scale systems. Participants will develop pipelines, automate tasks, and construct high-performance databases using Shell, SQL, and Scala.
Data Engineering for Data Scientists

This Nanodegree program teaches you how to access data silos, extract information from various sources, and streamline it into functional formats for analysts and high-level decision-makers. You will have the opportunity to create an impressive, machine learning-driven web application with significant real-world, life-saving implications.
Become a Data Engineer

This Nanodegree program equips learners with a strong foundation in Big Data Engineering. You will learn thoroughly about data models, data warehouses, data lakes, and data pipelines while working with massive datasets.
Mathematics for Machine Learning and Data Science Specialization

Introduction to Data Science

Deep Learning Specialization

IBM Data Analyst Professional Certificate

Genomic Data Science Specialization

IBM Data Warehouse Engineer Professional Certificate

IBM Data Engineering Professional Certificate

Become a Data Product Manager

MLOps with Azure

MLOps with AWS

MLOps with GCP

Become a Scala Developer

Resource Stacks
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