Find & Apply For Data Engineer Jobs In Union, North Carolina
Data Engineer jobs in Union, North Carolina involve designing, constructing, and maintaining data pipelines, databases, and infrastructure. Responsibilities include analyzing data sources, implementing ETL processes, and ensuring data quality and integrity. Data Engineers collaborate with data scientists and analysts to support business objectives through data-driven insights. Below you can find different Data Engineer positions in Union, North Carolina.
Jobs in Union
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 Union
Salary Information & Job Trends In this Region
Data Engineers in Union, North Carolina play a crucial role in managing and analyzing large datasets to drive business decisions and improve operational efficiency. - Entry-level Data Engineer salaries range from $60,000 to $80,000 per year - Mid-career Data Engineer salaries range from $80,000 to $100,000 per year - Senior-level Data Engineer salaries range from $100,000 to $130,000 per year The history of Data Engineering in Union, North Carolina can be traced back to the rise of big data and the need for organizations to effectively store, manage, and analyze vast amounts of information. As technology advanced, the demand for skilled Data Engineers grew exponentially. The evolution of Data Engineering in Union, North Carolina has seen a shift towards cloud-based solutions, machine learning, and artificial intelligence. Data Engineers are now required to not only build and maintain data pipelines but also to develop advanced algorithms and models to extract valuable insights from data. Current trends in Data Engineering in Union, North Carolina include the adoption of real-time data processing, the use of data lakes for storage and analysis, and the implementation of data governance practices to ensure data quality and compliance. Data Engineers are also increasingly focusing on scalability and performance optimization to handle the ever-growing volume of data generated by organizations.
