Rhodes Enterprises · 1 month ago
Data Engineer
McAllen, TX
Full-time
Onsite
Mid LevelRhodes Enterprises is focused on enhancing the lives of customers and team members through community building. As a Data Engineer, you will transform raw data into actionable intelligence, develop machine learning models, and automate data pipelines to drive strategic business decisions.
Commercial Real EstateConstructionProperty ManagementReal Estate
Responsibilities
Create project plans for each project request
Provide updates for project champion and Director of Data and IT
Deploy projects across the organization from individuals to org-wide deployments
Conduct analyses to drive valuable business insights, using analytics tools, Python, and SQL to access and manipulate multivariate data
Complete reports for the reporting calendar on time
Provide ad-hoc analysis support to identify trends that drive business performance
Communicate updates on report requests
Maintain an inventory/documentation of all reports created
Build data visualizations and multi-faceted dashboards that convey key performance metrics, significant trends, and relationships across multiple data sources within the content domain
Ideate and develop new metrics and analytical approaches, measuring content performance for both tactical and strategic decision-making
Partner with leaders to develop dashboards for their departments
Provide support & maintenance to dashboards in Qlik
Maintain an inventory/documentation of all dashboards created
Identify, analyze, and interpret trends or patterns using multiple information sources
Effectively communicate results through compelling data storytelling across the organization
Write code to create custom data pipelines from third-party systems for ETL into the data warehouse
Ensure data governance is incorporated into the development of visualizations
Design and implement robust data models utilizing our data warehouse to support advanced analytics and facilitate insights generation through our business intelligence platform
Develop data pipelines to efficiently process and prepare large datasets for model training and inference
Implement and fine-tune machine learning models using established frameworks and libraries to solve complex business problems
Select and apply appropriate pre-built machine learning algorithms and tools to analyze large datasets and extract meaningful insights
Optimize model performance through hyperparameter tuning, feature engineering, and data preprocessing techniques
Collaborate with cross-functional teams to understand business requirements and translate them into machine learning solutions
Qualification
Required
Bachelor's Degree
Experience using Business Intelligence tools such as Qlik Sense
Experience with Python programming language
Proficient in all Microsoft Office Applications as well as have savvy computer skills
Advanced Excel and reporting skills
Strong in communication skills both oral and written as well as strong in organization skills
Deadline driven and organized
Customer service oriented
Understand the need to be flexible and prioritize tasks in order to meet deadlines
Preferred
Master's Degree
Experience implementing machine learning models and statistical analyses to solve business problems and drive decision-making
Experience with Snowflake support analytical and operational needs
Benefits
Competitive Compensation including Bonus & Profit-Sharing Programs
Health Care - Medical/Dental/Vision/Prescription Drug Coverage
Employer Paid Health Reimbursement Account for Medically Enrolled Staff
401(k) with Company Matching Contributions
Disability Programs
Employee & Dependent Life Insurance
Vacation & Company Holidays
Employee Home Purchase Rebate Program
Employee Assistance Program (EAP)
Company
Rhodes Enterprises
Rhodes Enterprises is a real estate agency specializing in single and multi-family home construction and property management services.
Founded in 1997
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Nick Rhodes
President/CEO
Company data provided by crunchbase