Find & Apply For Data Engineer Jobs In DeKalb, Georgia

Data Engineer jobs in DeKalb, Georgia involve designing, constructing, and maintaining data pipelines, databases, and systems to support data analytics and business intelligence initiatives. Responsibilities include developing data models, optimizing data workflows, and collaborating with cross-functional teams to ensure data quality and integrity. Below you can find different Data Engineer positions in DeKalb, Georgia.

Latest Jobs in DeKalb

Salary Information & Job Trends In this Region

Data Engineers in DeKalb, Georgia play a crucial role in managing and analyzing large datasets to drive decision-making and innovation in various industries. - Entry-level Data Engineer salaries range from $55,000 to $70,000 per year - Mid-career Data Engineer salaries range from $75,000 to $90,000 per year - Senior-level Data Engineer salaries range from $95,000 to $120,000 per year The field of Data Engineering has a rich history in DeKalb, Georgia, with roots tracing back to the early days of computing and information technology. As businesses and organizations began to collect more data, the need for skilled professionals to organize, process, and extract insights from this data became increasingly apparent. Over the years, the role of Data Engineers in DeKalb has evolved to encompass a wide range of responsibilities, including database management, data warehousing, data modeling, and ETL (extract, transform, load) processes. With the exponential growth of data in the digital age, the demand for Data Engineers continues to rise, making it a promising career path for those interested in technology and analytics. Current trends in Data Engineering in DeKalb, Georgia focus on the integration of advanced technologies such as machine learning, artificial intelligence, and cloud computing to optimize data pipelines and enhance data-driven decision-making processes. Data Engineers are also increasingly required to possess strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.

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