Data Engineer
Metro National Corporation · Houston, Texas, United States
Real Estate · 201-500 employees
About the role
The role involves designing and delivering intuitive dashboards and interactive analytics applications to support data-driven decision-making. You will collaborate with stakeholders and technical teams to translate business needs into visual solutions while integrating AI-enabled capabilities.
What they look for
Requirements
Candidates must have a bachelor's degree and at least 5 years of hands-on experience in data engineering. Proficiency in modern visualization tools, SQL, and web-based analytics frameworks is required.
Full description
Description
Position is located onsite in Houston, Texas. Remote candidates will not be considered. We do not Sponsor Visa's
SUMMARY: MetroNational is modernizing its data and analytics capabilities to foster a data-driven culture. We are seeking a skilled Data Visualization & Analytics Engineer to join our data management team. This role plays a key part in delivering MetroNational’s analytics experience by translating data into clear, intuitive, and actionable visual solutions. The role combines strong data understanding with a focus on visualization, dashboard design, and web-based analytics delivery. Working closely with business stakeholders, data engineers, and product partners, this position is responsible for building dashboards, interactive applications, and data-driven experiences that make insights accessible and useful across the organization. The ideal candidate brings both analytical rigor and a strong eye for visual design, with a focus on creating solutions that are easy to use, tell a clear story, and support better decision-making.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Design and deliver dashboards, reports, and interactive analytics applications that communicate insights clearly and effectively across corporate and property groups.
- Translate business questions and data patterns into intuitive visualizations and user-friendly analytics experiences.
- Develop and maintain web-based analytics solutions, including embedded dashboards, lightweight applications, and visualization components.
- Partner with the Application Development team to ensure data is structured and exposed in a way that supports effective visualization and use.
- Identify trends, patterns, and anomalies in data and present findings through clear and effective data storytelling.
- Establish and promote standards for dashboard design, usability, and visual consistency across analytics solutions.
- Work directly with stakeholders to iterate on solutions and improve adoption, ensuring analytics tools are useful and easy to use.
- Integrate AI-enabled capabilities into dashboards and analytics applications, exploring ways to surface insights and improve decision-making through AI.
- Support ongoing enhancements, performance improvements, and usability updates across existing dashboards and analytics applications.
SKILLS, QUALIFICATIONS, AND OTHER REQUIREMENTS:
- Strong ability to design clear, intuitive, and visually effective dashboards and data experiences.
- Proficiency with modern visualization tools such as Domo, Power BI, or Tableau, including embedding or integrating them into broader applications.
- Working knowledge of SQL and data analysis concepts, with the ability to explore and understand data patterns.
- Experience building or supporting web-based analytics experiences, including exposure to frameworks such as React or similar front-end technologies preferred.
- Strong understanding of data storytelling and how to guide users toward insights through design and interaction.
- Demonstrated interest in applying AI within analytics and visualization experiences, with a willingness to experiment, learn, and incorporate AI-driven insights into dashboards, applications, and workflows where they create business value.
- Ability to translate business needs into practical, user-friendly solutions, balancing analytical depth with usability.
- Strong communication and collaboration skills, with the ability to work effectively across technical teams and business stakeholders.
- Attention to detail and a focus on consistency, usability, and adoption across analytics solutions.
- Familiarity with Agile and SDLC methodologies.
- Ability to manage multiple projects and priorities simultaneously.
Requirements
EDUCATION AND REQUIRED EXPERIENCE:
- Bachelor’s degree, advance degree a plus.
- 5+ years of hands-on experience in data engineering within complex organizations.
- Experience in Real Estate and Property Management industry is a plus.
SKILLS, QUALIFICATIONS, AND OTHER REQUIREMENTS:
- Strong ability to design clear, intuitive, and visually effective dashboards and data experiences.
- Proficiency with modern visualization tools such as Domo, Power BI, or Tableau, including embedding or integrating them into broader applications.
- Working knowledge of SQL and data analysis concepts, with the ability to explore and understand data patterns.
- Experience building or supporting web-based analytics experiences, including exposure to frameworks such as React or similar front-end technologies preferred.
- Strong understanding of data storytelling and how to guide users toward insights through design and interaction.
- Demonstrated interest in applying AI within analytics and visualization experiences, with a willingness to experiment, learn, and incorporate AI-driven insights into dashboards, applications, and workflows where they create business value.
- Ability to translate business needs into practical, user-friendly solutions, balancing analytical depth with usability.
- Strong communication and collaboration skills, with the ability to work effectively across technical teams and business stakeholders.
- Attention to detail and a focus on consistency, usability, and adoption across analytics solutions.
- Familiarity with Agile and SDLC methodologies.
- Ability to manage multiple projects and priorities simultaneously.
