Data Engineer

Data Engineer Duration: 6 Month, Contract Location: RemotePay: $50+/hr JOB DESCRIPTION A monetary force, this company, with over one hundred and fifty billion dollars in annual revenue is the pulse of the retail industry. By having over 2,750 different locations in thirty-five states, there is no doubt that this company directly impacts the lives of many people in the American populous, and, by extension, in the world populous. Being a part of such a massive retail organization can be intimidating, but this company, through their subsidiaries, is able to maintain personal relationships with their employees. Through intentionality, integrity, and innovation, this company is able to be an ideal workplace that excites and has a profound impact on several communities. This company fully understands that by working together there is no limit to what can be created.This company is a community of Data Scientists and Engineers that work to improve the shopping experiences of our customers, both in-store and online. This Engineer should be prepared to leverage large volumes of data to develop powerful sciences by using cutting edge machine learning, natural language processing, and mathematical techniques to improve products, processes, and systems that positively impact customers. This team leads the organization in identifying and adopting the tools and technologies that will continue to position the company as the recognized analytical leader within the industry. The Enterprise Price and Promotion (EPP) team is looking for a Data Engineer - Contractor to join the team. This role will support the scaling of a cutting-edge process to optimize prices of items across this company's 2,700+ grocery stores. More specifically, the role will execute an existing, highly prescribed, and very well documented process being used to establish optimal pricing until a system, currently under development by this company, is ready to take over this function. The ideal candidate for this role will have the technical skills required to support the process, strong organizational and project management skills, and the ability to collaborate with EPP Consultants and company stakeholders as the pricing optimization solution is scaled across each grocery category. RESPONSIBILITIES

• Schedule and execute the templated jobs required to optimize pricing for each grocery category
• Move data files from Cloud environment to on-prem servers
• Edit existing code, where necessary, to establish pricing specific business rules provided by company stakeholders
• Load data files into a Dash based interactive dashboard used by EPP and company stakeholders to facilitate pricing optimization
• Running batch scripts
• Collaborate with EPP consultants to appropriately deploy pricing optimization solution within each scheduled grocery category, attend meetings, in-take business requirements, translate requirements to code, align on, and complete action items
• Adhere to stringent quality assurance and documentation standards (e.g., git, markdown, Confluence)

• Strong organizational and project management skills
• Python - basic to intermediate
• Azure Cloud - basic
• Databricks - basic or ability to quickly learn how to work within Databricks
• Jupyter notebooks - basic to intermediate
• Git version control - basic to intermediate
• Linux, basic comfortability to work on the command line
• Ability to edit JSON files
• Good interpersonal and communication skills
• 1 or more years of experience working within a highly technical team