Software Developer

Description

We are looking for a Software Developer to join our team in San Antonio, Texas and create practical, scalable tools that turn complex operational data into reliable insights. This role is ideal for an engineer who enjoys working across data systems, application layers, and user-facing utilities to solve meaningful business problems. You will help shape how information is organized, accessed, and applied across analytics, product initiatives, and AI-driven solutions.

Responsibilities:
Design and build tools that make platform data easier to investigate, interpret, and use for operational decision-making.
Create derived datasets and structured indicators that support dashboards, automated agents, and recurring analytical workflows without relying on direct raw-table queries.
Develop an initial solution for identifying and classifying offline devices, then expand into additional high-value data products and targeted tooling.
Build and maintain well-structured APIs so both internal users and automated systems can access data consistently through the same query and filtering capabilities.
Integrate analytical outputs into regression models and machine learning workflows while highlighting insights relevant to customer experience and product strategy.
Enhance and support the underlying database environment, derived-data architecture, and front-end utilities that enable AI products and business growth initiatives.
Respond to cross-functional reporting and data requests by translating business questions into accurate extracts, analyses, and actionable findings.

Requirements

5+ years of experience in software development with hands-on work across data engineering, application development, and analytics-focused tooling.
Strong proficiency in .NET, C#, ASP.NET, and JavaScript for building reliable full-stack solutions.
Demonstrated experience designing and consuming REST APIs, including familiarity with API standards such as OpenAPI Specification.
Advanced SQL skills with the ability to query, model, and analyze data directly in Microsoft SQL environments.
Practical background in data mining or investigative analysis within complex, high-impact environments.
Experience working with data analytics and reporting tools; exposure to Power BI is strongly preferred.
Familiarity with modern cloud data platforms or warehousing environments such as Databricks, Snowflake, Microsoft Fabric, or comparable technologies.
Ability to work as a versatile engineer across data pipelines, data models, and user-facing tools rather than focusing on a single technical layer.

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