What you'll do...
Position: Senior Data Engineer
Job Location: 811 Excellence Dr, Bentonville, AR 72716
Duties: Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Data Source Identification: Supports understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. Data Transformation and Integration: Extracts data from identified databases. Creates data pipelines and transforms data to a structure that is relevant to the problem by selecting appropriate techniques. Develops knowledge of current data science and analytics trends. Tech. Problem Formulation: Translates/co-owns business problems within one's discipline to data related or mathematical solutions. Identifies appropriate methods/tools to be leveraged to provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem. Understanding Business Context: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy and develops domain specific artifact. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Identifies and recommends relevant business insights pertaining to their area of work. Data Modeling: Analyzes complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models. Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs. Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure. Evaluates existing data models and physical databases for variances and discrepancies. Develops efficient data flows. Analyzes data-related system integration challenges and proposes appropriate solutions. Creates training documentation and trains end-users on data modeling. Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports. Code Development and Testing: Writes code to develop required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Creates test cases to review and validate the proposed solution design. Creates proofs of concept. Tests the code using the appropriate testing approach. Deploys software to production servers. Contributes code documentation, maintains playbooks, and provides timely progress updates. Data Governance: Establishes, modifies, and documents data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets company and regulatory policies on data. Educates others on data governance processes, practices, policies, and guidelines. Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines.
Minimum education and experience required: Master's degree or the equivalent in Computer Science or related field plus 1 year of experience in software engineering or related experience; OR Bachelor's degree or the equivalent in Computer Science or related field plus 3 years of experience in software engineering or related experience.
Skills required: Must have experience with: Translating product vision into product strategy and roadmaps; Conducting end user research to identify user stories and to determine Minimum Viable Product (MVP); Evaluating research and market analysis on industry innovations and technology platforms; Establishing product goals, metrics, and analytics to measure product value outcomes; Leading requirements gathering activities to gather and validate business needs; Applying Agile methodologies to research and define user problem statements, use cases, and functional requirements; Translating and documenting requirements in the PRD, BRD, epics, features, persona journey maps, user stories and acceptance criteria format; Conducting user acceptance testing and product demo sessions as part of an iterative development process to ensure the deliverables fulfill specified acceptance criteria and achieve business requirements; Designing and implementing RDBMS Database; Utilizing SQL queries and stored procedures to extract data from databases and perform data analysis; Tracking application progress with JIRA; Documenting product information and providing solutions using Confluence. Employer will accept any amount of experience with the required skills.
Rate of pay: $107,744.00 - 180,000.00/year
