Find & Apply For Data Engineer Jobs In Wilson, North Carolina

Data Engineer jobs in Wilson, North Carolina involve designing, constructing, and maintaining data pipelines, databases, and systems. Responsibilities include analyzing data to discover insights, improving data quality, and collaborating with cross-functional teams. Data Engineers in Wilson play a crucial role in developing and optimizing data infrastructure for various industries. Below you can find different Data Engineer positions in Wilson, North Carolina.

Jobs in Wilson

Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.

Latest Jobs in Wilson

Salary Information & Job Trends In this Region

Data Engineers in Wilson, North Carolina are responsible for managing and optimizing data systems to support business operations and decision-making. - Entry-level Data Engineer salaries range from $50,000 to $70,000 per year - Mid-career Data Engineer salaries range from $70,000 to $90,000 per year - Senior-level Data Engineer salaries range from $90,000 to $120,000 per year The role of Data Engineer in Wilson, North Carolina has a rich history dating back to the early days of computing when data processing was first introduced in businesses and organizations. As technology advanced, the need for skilled professionals to manage and analyze data grew, leading to the establishment of the Data Engineer role. Over the years, the role of Data Engineer has evolved to encompass a wide range of responsibilities, including data integration, database management, and data warehousing. With the rise of big data and cloud computing, Data Engineers in Wilson, North Carolina have adapted to new technologies and tools to meet the growing demands of data-driven decision-making. Current trends in the field of Data Engineering in Wilson, North Carolina include the increasing use of machine learning and artificial intelligence to automate data processes, the implementation of data governance and security measures to protect sensitive information, and the emphasis on collaboration with cross-functional teams to ensure data quality and integrity. Data Engineers are also focusing on continuous learning and professional development to stay ahead of industry trends and best practices.

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