Design, implement, and manage enterprise server, virtualization, and cloud infrastructure across distributed sites, driving modernization, automation, and reliability.
Responsibilities
Design, implement, and manage enterprise server infrastructure across distributed sites
Lead cloud and hybrid initiatives including Azure infrastructure, migrations, and connectivity
Strengthen infrastructure security through system hardening, patching, vulnerability management, and HIPAA-aligned controls
Drive monitoring and operational excellence through observability tools, alerting, and incident response
Advance automation and efficiency through scripting, configuration management, and Infrastructure-as-Code
Senior Engineer on the Corporate and Manufacturing Network Engineering team responsible for design, implementation, and operational health of Starbucks' corporate and manufacturing network infrastructure.
Responsibilities
Own design, implementation, and operational health of corporate and manufacturing network infrastructure
Write code and build automated systems to eliminate manual processes
Drive consistency at scale and provide visibility across global network
Research Associate focusing on digital agriculture workforce development.
Compensation
Salary: $55,000/year, may be commensurate with candidate experience.
Responsibilities
Design, implement, and analyze primary qualitative and quantitative data tools including producer/stakeholder focus groups, semi-structured interviews, and state/regional surveys across Texas and Louisiana.
Model and analyze key dimensions of agricultural digital divides and their systemic impacts on labor demand and workforce retention.
Lead and co-author high-impact, peer-reviewed journal articles and present findings at major national and regional academic conferences.
Collaborate with PIs on writing competitive grant proposals to expand project sustainability and funding.
Translate research findings into extension briefs, factsheets, policy recommendations, and educational modules for producers, extension personnel, and industry partners.
Requirements
Ph.D. in Agricultural Economics, Applied Economics, Public Policy, Economics (with emphasis on behavioral or labor economics), or a closely related social science such as Anthropology and Rural Sociology
Nice to have: survey design
Nice to have: mixed-methods research
Nice to have: advanced modeling techniques (hierarchical linear modeling, structural equation modeling, machine learning)
AI Data Engineer responsible for building and managing data pipelines, integrations, and retrieval architectures to support AI agents within Taulia’s fintech ecosystem.
Compensation
The estimated annualized base salary range for this position is $165,000 - $185,000.
Responsibilities
Build and maintain custom connectors (APIs, ETL pipelines) to extract data from core business systems for AI tools
Unlock siloed data for the AI ecosystem
Design and maintain data pipelines feeding the AI knowledge base
Optimize Retrieval-Augmented Generation (RAG) performance by improving document chunking, tagging, and indexing
Ensure data freshness and prevent obsolete information usage
Responsible for the health, modernization, automation, and continuous improvement of critical infrastructure platforms supporting network operations, observability, identity services, and enterprise infrastructure management.
Responsibilities
Evaluating technical challenges and determining the best path forward
Analyzing business, operational, and technical requirements
Identifying technical, operational, and timeline risks early in the project lifecycle
Designing, testing, integrating, and automating solutions across multiple platforms
Supporting application onboarding, migrations, upgrades, and platform transformations
Senior Data Scientist focused on fraud analytics and strategy within the banking sector.
Responsibilities
Perform sophisticated data analytics on structured and unstructured data
Support new, ongoing, and strategic projects and take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome
Extract and evaluate information gathered from multiple sources, resolve data conflicts and customize communication of key data findings
Provide analytical consulting and thought leadership to various business areas
Co-design optimal solutions to solve complex business problems with advanced data science capabilities
Requirements
Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
Nice to have: Master’s degree or PhD in a quantitative field
Nice to have: Previous experience in the banking or fin-tech industry
Nice to have: Experience working with data science workspace within Adobe Enterprise Platform
Nice to have: Experience working with Graph Databases, graph query language, and related algorithms
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