Tyler Technologies, Inc.
Overview
The job description contains multiple roles across Tyler Technologies, spanning data engineering, software engineering, product analysis, HR, and sales. The content as provided is a compilation of numerous position summaries rather than a single, cohesive listing. For clarity and usability, this refined version focuses on presenting responsibilities and qualifications in a structured way while removing irrelevant boilerplate and non-descriptive text. Below are representative responsibilities and qualifications drawn from the provided content. Specific roles may have additional requirements not listed here. Responsibilities (selected examples)
Query databases, maintain data transformation pipelines through ETL tools, and support data modeling and visualizations. Develop, deploy, and maintain data solutions across divisions; provide ad hoc reporting and interactive dashboards. Collaborate with developers and clients to gather and translate application requirements; manage assigned tasks with guidance and grow independent prioritization. Design, develop, and maintain software components using technologies such as Angular, HTML5, RESTful services, .NET, and C#; work in cloud environments (AWS). Lead or participate in forecasting, planning, or project management activities as applicable to the role. Provide technical support, troubleshoot, and ensure high levels of service delivery for enterprise software solutions. Qualifications (illustrative)
Experience with database querying, ETL pipelines, data warehouses, and data visualization tools. Proficiency in relevant programming languages and frameworks (e.g., .NET, C#, Angular, RESTful services). Ability to collaborate across teams, manage tasks, and effectively communicate requirements and status. Experience with cloud platforms (AWS) and modern DevOps practices is a plus. Strong problem-solving, analytical, and storytelling skills to translate data into actionable insights. Notes
This refined description omits non-essential boilerplate, notices about fraudulent offers, and generic company-wide statements. It retains a focus on job responsibilities and qualifications while removing duplicative or irrelevant content. The original language has been preserved where feasible, but the presentation is reformatted for clarity and usability.
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The job description contains multiple roles across Tyler Technologies, spanning data engineering, software engineering, product analysis, HR, and sales. The content as provided is a compilation of numerous position summaries rather than a single, cohesive listing. For clarity and usability, this refined version focuses on presenting responsibilities and qualifications in a structured way while removing irrelevant boilerplate and non-descriptive text. Below are representative responsibilities and qualifications drawn from the provided content. Specific roles may have additional requirements not listed here. Responsibilities (selected examples)
Query databases, maintain data transformation pipelines through ETL tools, and support data modeling and visualizations. Develop, deploy, and maintain data solutions across divisions; provide ad hoc reporting and interactive dashboards. Collaborate with developers and clients to gather and translate application requirements; manage assigned tasks with guidance and grow independent prioritization. Design, develop, and maintain software components using technologies such as Angular, HTML5, RESTful services, .NET, and C#; work in cloud environments (AWS). Lead or participate in forecasting, planning, or project management activities as applicable to the role. Provide technical support, troubleshoot, and ensure high levels of service delivery for enterprise software solutions. Qualifications (illustrative)
Experience with database querying, ETL pipelines, data warehouses, and data visualization tools. Proficiency in relevant programming languages and frameworks (e.g., .NET, C#, Angular, RESTful services). Ability to collaborate across teams, manage tasks, and effectively communicate requirements and status. Experience with cloud platforms (AWS) and modern DevOps practices is a plus. Strong problem-solving, analytical, and storytelling skills to translate data into actionable insights. Notes
This refined description omits non-essential boilerplate, notices about fraudulent offers, and generic company-wide statements. It retains a focus on job responsibilities and qualifications while removing duplicative or irrelevant content. The original language has been preserved where feasible, but the presentation is reformatted for clarity and usability.
#J-18808-Ljbffr