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Texas A&M University
College Station, TX
Supports the monitoring, assessment, documentation, reporting, and control of changes affecting business processes, systems, technology, job roles, and organizational structures
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Texas A&M University
College Station, TX
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Familiarity with Intelligence Community analytic systems and databases.
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Regional Director of AI, Business Intelligence & Automation
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Fairfax, VA
Assess existing systems and workflows to uncover opportunities where AI can deliver meaningful business value.
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Pharmacy Technician / Pharm Tech Apprenticeship
Walgreens
MINT HILL, NC
- $17 to $23.25 USD / hour
Responsible for using pharmacy systems to obtain patient and drug information and process prescriptions. If PTCB certified, assists with and coaches pharmacy technicians in the operation of…

Carrier Access IT

Consulting Data & AI Engineer

Omaha, NE, United States

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Job details

Experience: 7+ years of related experience in data engineering, software engineering, analytics engineering, business intelligence, or a related technology discipline required.
Posting language: English
Posted: Nov 6, 2026

Original job description

Job Title: Consulting Data & AI Engineer Department: Professional Services- Systems Reports To: Director of Professional Services Systems

Job Summary:

The Consulting Data & AI Engineer is a key position on our Professional Services team that designs, develops, implements, and maintains data and artificial intelligence (AI) solutions for clients. While working in fast-paced environments, the position’s primary focus is to deliver data engineering, integration, analytics, and AI-enabled application projects, and interface with clients to help them address business needs through practical, secure, and maintainable technology solutions.

Essential Functions:

Implement best-in-class data and AI technology projects that address client business needs.
Consult with clients to understand business objectives, existing data environments, and technical requirements; translate those needs into effective solution designs.
Design, develop, and maintain data pipelines, integrations, data models, and ETL/ELT processes that make client data reliable, accessible, and useful.
Develop and optimize SQL queries, database structures, and data solutions that support reporting, analytics, and AI-enabled applications.
Connect AI capabilities to client data sources, APIs, applications, and business systems while considering security, privacy, and access controls.
Evaluate AI use cases, build prototypes or proofs of concept, and test solutions for accuracy, reliability, performance, and business value.
Communicate both big-picture business drivers and technical details throughout projects.
Estimate project effort, identify risks and dependencies, communicate project status, and help ensure solutions are delivered within agreed scope and timelines.
Provide client assistance by troubleshooting technical issues and collaborating with internal and vendor technical resources until a solution is reached.
Document solution designs, data flows, configurations, and implementation procedures to support ongoing maintenance and knowledge transfer.
Attend vendor training, conferences, webinars, and continuing education to maintain current knowledge of relevant technology and research industry best practices.
Gain and maintain certifications in areas of expertise.
Advocate positive culture and collaborate with team members to share knowledge, reusable tools, and best practices.
Provide feedback to executive and technical teams to participate in functionality roadmap planning and the continued development of CAIT’s data and AI services.
Benchmark, analyze, report on, and make recommendations for the improvement and growth of professional and managed services technology offerings.
Identify opportunities to improve client outcomes and support revenue growth through additional data, analytics, automation, and AI solutions.
Meet established project delivery, client service, and billable-hour expectations.
Perform other tasks as needed or requested.

Education and Experience:

7+ years of related experience in data engineering, software engineering, analytics engineering, business intelligence, or a related technology discipline required.
Demonstrated experience designing, developing, and supporting data pipelines, data integrations, data models, or data-intensive applications.
Strong SQL skills and experience with relational databases, data warehousing, and ETL/ELT processes.
Experience developing and deploying technical solutions in cloud or enterprise environments.
Programming experience in one or more languages used for data engineering such as Python, SQL, Rust, or similar.
Experience with Microsoft cloud and data technologies, such as Azure, Microsoft Fabric, Azure Data Factory, Snowflake, Databricks, or related services, preferred.
Experience with large language models (LLMs), generative AI, AI agents, retrieval-augmented generation (RAG), embeddings, or vector search preferred.
Associate’s or Bachelor’s degree in a related field preferred; equivalent practical experience may be considered.
Certifications are highly encouraged, especially in data, cloud, software development, and AI technologies.

Desired Qualifications/Skills:

Client-facing communication and soft skills to work with management, client technology teams, end users, and technical vendors on technical issues as they relate to projects or client needs.
Excellent communication skills, including the ability to explain technical concepts and business implications to technical and nontechnical audiences.
The ability to create lasting relationships with client technology teams.
An entrepreneurial mindset with an understanding of revenue growth as a business driver.
Excellent analytical, problem-solving, troubleshooting, and attention-to-detail skills.
High level of self-motivation and accountability.
Ability to manage multiple priorities and add value under the pressure of time constraints in a fast-paced, collaborative environment.
Ability to learn new technologies, research industry best practices, and recommend practical solutions.
Ability to travel in various capacities, including but not limited to client sites, training seminars, trade shows, and corporate events.
Ability to work in an environment that may require sitting for extended periods of time and dexterity of hands and fingers to operate a computer keyboard and mouse.

Benefits & Perks:

We offer a comprehensive benefits package designed to support our team members both personally and professionally, including:

401(k) retirement plan with employer match
Opportunities for quarterly bonuses (variable pay)
Paid time off and volunteer time off
Medical, dental, and vision coverage for employees and eligible dependents
100% company-paid life insurance and short-term and long-term disability insurance
Flexible spending accounts and health savings accounts
Career development and advancement opportunities
Professional development and training opportunities
Company-paid vendor certifications and training
Mentorship and opportunities to work on diverse projects
Hybrid and flexible work arrangements, depending on the position and business needs
Wellness and financial resources
A culture-rich organization with a family-valued atmosphere.

A full summary of available benefits is provided during the interview and onboarding process.

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More about this job

Skills

Data models
Data engineering
Troubleshooting
Research
Business intelligence
SQL
Data warehousing
Python
Rust
Microsoft Azure
Microsoft Azure Data Factory
Snowflake
Databricks
Software development
Communication skills
Problem solving
Attention to detail

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