Find & Apply For Data Engineer Jobs In Shelby, Tennessee
Data Engineer jobs in Shelby, Tennessee involve designing, implementing, and maintaining data pipelines, databases, and systems. Responsibilities include analyzing data requirements, optimizing data workflows, and ensuring data quality and integrity. Data Engineers collaborate with data scientists and analysts to support data-driven decision-making. Below you can find different Data Engineer positions in Shelby, Tennessee.
Jobs in Shelby
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.
Systems Engineer (Data Engineering)
AutoZone
Shelby, TN
Senior AWS Data Engineer – (Employment sponsorship is not being considered)
Vaco
Shelby, TN
Senior AWS Data Engineer – (Employment sponsorship is not being considered)
Vaco
Shelby, TN
Sr Data Engineer
Stifel
Shelby, TN
Data Engineer
Robert Half
Shelby, TN
Data Engineer
Sylvamo
Shelby, TN
Latest Jobs in Shelby
Salary Information & Job Trends In this Region
Data Engineers in Shelby, Tennessee play a crucial role in managing and analyzing data to drive business decisions and improve processes. - Entry-level Data Engineer salaries range from $50,000 to $65,000 per year - Mid-career Data Engineer salaries range from $70,000 to $90,000 per year - Senior-level Data Engineer salaries range from $95,000 to $120,000 per year The history of Data Engineers in Shelby, Tennessee can be traced back to the rise of big data and the need for professionals to handle and interpret large volumes of information. As technology advanced, the role of Data Engineers became more specialized and in-demand. In the evolution of Data Engineers in Shelby, Tennessee, we have seen a shift towards more automated and scalable data solutions. Data Engineers now work closely with data scientists and analysts to develop and implement complex data pipelines and systems. Current trends in the field of Data Engineering in Shelby, Tennessee include a focus on cloud-based solutions, machine learning integration, and the importance of data security and privacy. Data Engineers are also increasingly required to have strong communication skills to collaborate with cross-functional teams and stakeholders.