Join our dynamic team as a contract Data Engineer / Java Developer / DevOps / Python / Data Scientist in Charlotte, North Carolina. As a pivotal part of our organization, you will contribute to our analytics and data-driven initiatives that support decision-making processes across various departments. This role is situated within a mid-sized tech company, promoting a collaborative and innovative work environment that encourages professional growth and collaboration.Key ResponsibilitiesDesign and implement data models that facilitate efficient organization and retrieval of data.Create and maintain data pipelines using Java and Python to support data warehousing and analytics processes.Develop and deploy DevOps practices to enhance automation and integrate development processes with operational support.Utilize machine learning algorithms to extract insights and predictions from large data sets.Collaborate with cross-functional teams to ensure aligned goals and successful project delivery.Continuously improve and optimize existing data systems to meet evolving business needs.Monitor and report on the performance of data systems and present findings to stakeholders.Required and preferred qualificationsMaster's Degree in Data Science, Computer Science, or a related field.Proven experience in Data Modeling, Java, Python, and DevOps practices.Strong understanding of Data Warehousing and Big Data Technologies.Experience with machine learning frameworks and tools.3+ years of hands-on experience in a relevant role.Familiarity with cloud platforms (e.g., AWS, Azure) is preferred.In our collaborative environment, you will be part of an agile team dedicated to using data to drive business performance. You will report to the Lead Data Engineer and work closely with data scientists, data analysts, and stakeholders across various departments.Our company fosters a culture of continuous improvement and innovation, providing employees with opportunities for growth and leadership. Enjoy modern workplace benefits that include flexible hours, a focus on work-life balance, and support for professional development through courses and conferences. Join us and be at the forefront of data-driven decision-making!