Trainee Data Engineer

Position Summary:Designs, develops, solves, and programs models, methods, processes, and systems to analyze unstructured/structured datasets (a diverse set of large and very large "big data" sources) to generate actionable insights and solutions for internal and external partners. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, models, algorithms, and automated processes to cleanse, integrate and evaluate datasets from multiple sources. Develops and evaluates advanced algorithms, including descriptive, measurement, predictive, optimization and prescriptive models that lead to tactical and strategic business insights. Applies knowledge of statistics, econometrics, operations research, machine learning, deep learning methods, computer programming, data engineering, simulation techniques, and advanced mathematics at the MS and Ph.D. level to model market behavior, uncover patterns in large datasets, identify market opportunities, pose meaningful business questions, and make valuable discoveries that lead to prototype development, full scale product deployment, and improvements with existing products. Helps usher large-scale product implementations from inception to post-rollout support. Knowledge of development tools such as R, Python, SQL, C#, Java, C++, Matlab, Microsoft Suite of Products (Visual Studio, Azure, MS SQL Server, Dynamics, Office), AWS, Adobe Analytics, and a range of data infrastructure/engineering tools.What you bring to the role:Entry-level professional individual contributor on a project or work team. Work is closely supervised. Problems faced are not typically difficult or complex. Explains facts, policies and practices related to job area.Works on projects of limited scope and complexity. Follows standard practices and procedures in analyzing situations or data from which answers can be readily obtained.Uses company standard policies and procedures to resolve issues in which answers can be readily obtained. Work is reviewed regularly by supervisor or more senior peers.Requires broad theoretical knowledge typically acquired from advanced education. Typically requires a four year college degree or equivalent experience and 0-2 years functional experience.