Find & Apply For Data Engineer Jobs In Rockingham, New Hampshire
Data Engineer jobs in Rockingham, New Hampshire involve managing, optimizing, and securing data systems. Responsibilities include designing databases, developing ETL processes, and collaborating with data scientists. Candidates should have a strong background in programming languages like Python or SQL, and experience with data warehousing and cloud platforms. Below you can find different Data Engineer positions in Rockingham, New Hampshire.
Jobs in Rockingham
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 Rockingham
Salary Information & Job Trends In this Region
Data Engineers in Rockingham, New Hampshire play a crucial role in managing and analyzing large volumes of data to drive business insights and decision-making. - Entry-level Data Engineer salaries range from $60,000 to $80,000 per year - Mid-career Data Analyst salaries range from $80,000 to $100,000 per year - Senior-level Data Architect salaries range from $100,000 to $130,000 per year The history of Data Engineers in Rockingham, New Hampshire can be traced back to the early days of computing when businesses started to realize the value of data-driven decision-making. As technology advanced, the role of Data Engineers became more prominent in organizations looking to harness the power of data. Over the years, the evolution of Data Engineers in Rockingham, New Hampshire has seen a shift towards more sophisticated data storage and processing systems. With the rise of big data and cloud computing, Data Engineers are now responsible for managing complex datasets and implementing scalable solutions. Current trends in the field of Data Engineering in Rockingham, New Hampshire include the adoption of machine learning and artificial intelligence for data analysis, as well as a growing emphasis on data privacy and security. Data Engineers are also increasingly collaborating with cross-functional teams to ensure that data is used effectively across the organization.