Consulting Data & AI Engineer

Carrier Access IT•Omaha, NE

About The Position

The Consulting Data & AI Engineer is a key member of the Professional Services team, responsible for designing, developing, implementing, and maintaining data and artificial intelligence solutions for clients. In fast-paced environments, the role focuses on delivering data engineering, integration, analytics, and AI-enabled application projects, while working with clients to address business needs through practical, secure, and maintainable technology solutions. The engineer consults with clients to understand business objectives, existing data environments, and technical requirements, then translates those needs into solution designs. The position develops and supports data pipelines, integrations, data models, ETL/ELT processes, SQL and database solutions, and connections between AI capabilities and client systems. It also evaluates AI use cases, builds and tests prototypes, communicates project details and status, assists with troubleshooting, and documents implementations for maintenance and knowledge transfer. The role contributes to team knowledge sharing, service and product roadmaps, technology offering improvements, client outcomes, and revenue growth. It also requires meeting project delivery, client service, and billable-hour expectations, maintaining relevant knowledge and certifications, and traveling as needed for client and company activities.

Requirements

At least 7 years of related experience in data engineering, software engineering, analytics engineering, business intelligence, or a related technology discipline.
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 data engineering languages, such as Python, SQL, or Rust.
Client-facing communication and interpersonal skills for working with management, client technology teams, end users, and technical vendors.
Ability to explain technical concepts and business implications to technical and nontechnical audiences.
Ability to create lasting relationships with client technology teams.
Analytical, problem-solving, troubleshooting, and attention-to-detail skills.
Self-motivation and accountability.
Ability to manage multiple priorities and add value under time constraints in a fast-paced, collaborative environment.
Ability to learn new technologies, research industry best practices, and recommend practical solutions.
Ability to travel for client sites, training seminars, trade shows, and corporate events.
Ability to work in an environment that may require sitting for extended periods and using hands and fingers to operate a computer keyboard and mouse.

Nice To Haves

Experience with Microsoft cloud and data technologies such as Azure, Microsoft Fabric, Azure Data Factory, Snowflake, Databricks, or related services.
Experience with large language models, generative AI, AI agents, retrieval-augmented generation, embeddings, or vector search.
Associate’s or Bachelor’s degree in a related field; equivalent practical experience may be considered.
Certifications in data, cloud, software development, or AI technologies.
Entrepreneurial mindset and understanding of revenue growth as a business driver.

Responsibilities

Implement data and AI technology projects that address client business needs.
Consult with clients to understand business objectives, data environments, and technical requirements, and translate them into effective solution designs.
Design, develop, and maintain data pipelines, integrations, data models, and ETL/ELT processes.
Develop and optimize SQL queries, database structures, and data solutions for 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 business drivers and technical details throughout projects.
Estimate project effort, identify risks and dependencies, communicate project status, and help deliver solutions within agreed scope and timelines.
Troubleshoot client technical issues and collaborate with internal and vendor technical resources to reach solutions.
Document solution designs, data flows, configurations, and implementation procedures to support maintenance and knowledge transfer.
Attend vendor training, conferences, webinars, and continuing education; maintain current knowledge of relevant technology and industry best practices.
Gain and maintain certifications in areas of expertise.
Collaborate with team members to share knowledge, reusable tools, and best practices, and advocate a positive culture.
Provide feedback to executive and technical teams for functionality roadmap planning and the continued development of data and AI services.
Benchmark, analyze, and report on professional and managed services technology offerings and recommend improvements and growth.
Identify opportunities to improve client outcomes and support revenue growth through data, analytics, automation, and AI solutions.
Meet established project delivery, client service, and billable-hour expectations.
Perform other tasks as needed or requested.

Benefits

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.
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.