Lead Developer Applications - Cobb Vantress Corporate

Tyson Foods•Siloam Springs, AR

About The Position

The Lead Developer, Applications is a hands‑on technical lead responsible for designing and building modern applications and data‑driven solutions that improve operational efficiency and decision‑making. This role blends application development, data engineering, and early AI/ML enablement, focusing on reducing manual processes, improving data quality, and embedding intelligence into business applications. This position partners closely with R&D, Live Production, Planning, and Finance to deliver practical, scalable solutions—translating business needs into well‑architected applications supported by reliable data pipelines and analytics.

Requirements

Proficiency in one or more application development languages such as C#, Java, Python, or R.
Strong experience with SQL and relational data modeling.
Experience building system integrations using APIs, batch jobs, or event-based messaging.
Solid understanding of data concepts, including data quality, transformations, and validation.
Ability to communicate technical solutions to business and non‑technical stakeholders.

Nice To Haves

Experience with data platforms or analytics tooling (Databricks, Snowflake, Synapse/Fabric, etc.).
Exposure to machine learning workflows, including feature preparation, model scoring, or integration into applications.
Familiarity with Python‑based data processing and ML libraries (e.g., Pandas, scikit‑learn).
Experience with BI and visualization tools such as Power BI.
Cloud development experience (Azure preferred).
Experience supporting operational, manufacturing, or production systems is a plus.

Responsibilities

Application Development & Architecture Lead the design, development, and enhancement of business‑critical applications, integrations, and services.
Translate business requirements into maintainable, scalable application designs aligned with IT standards.
Improve application usability, workflow efficiency, and error‑handling to reduce manual rework.
Data Engineering & Integration Design and build data pipelines and integrations between operational systems, applications, and reporting platforms.
Implement data validation, reconciliation logic, and system controls to improve data accuracy and consistency.
Reduce duplicate data entry by enabling system‑to‑system data flows and shared data services.
ML & AI Enablement Prepare and structure application data to support analytics, machine learning, and AI use cases.
Support the development and operationalization of predictive models, anomaly detection, or optimization logic, working alongside data science or analytics partners.
Assist in integrating ML or AI outputs into applications (e.g., recommendations, alerts, automated validations).
Participate in early AI/ML lifecycle practices such as data preparation, model integration, deployment support, and monitoring.
Technical Leadership Provide hands‑on technical leadership and mentorship to application and data developers.
Conduct design and code reviews, promoting best practices in performance, security, and maintainability.
Partner with BI, infrastructure, and security teams to ensure solutions align with data platforms and governance standards.
Operations, Support & Continuous Improvement Support production applications and data integrations, including troubleshooting, root‑cause analysis, and performance tuning.
Contribute to documentation, deployment standards, and operational runbooks.
Identify opportunities to modernize legacy applications and introduce data‑driven automation.

Benefits

We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.

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