Lead. Innovate. Grow. Make An Impact.UDig is seeking an Engineering Consultant who is ready to own their work, grow their consulting craft, and deliver real value to clients across a range of industries. This is the core delivery role at UDig - you'll contribute meaningfully to complex engineering engagements, develop independent judgment on technical problems, and begin building the client relationships that define a consulting career. You bring 3-5 years of hands-on engineering experience and are ready to do more than execute tickets.
What You'll Do:- Deliver full-stack engineering solutions as a contributing team member on client engagements - backend, frontend, and data-integrated systems.
- Design, build, and deploy cloud-native applications following established architectural patterns and engineering standards.
- Actively incorporate AI-assisted development into your daily workflow - using AI tools to accelerate implementation, review, and testing - and share what's working with your team.
- Participate in and contribute to code and design reviews, agile ceremonies, and delivery check-ins with increasing confidence.
- Begin engaging directly with client stakeholders: presenting work, asking clarifying questions, and translating technical concepts for non-technical audiences.
- Mentor Associate Consultants through code reviews, pairing, and sharing hard-won lessons.
- Identify and surface opportunities to improve delivery quality or team practices on your engagements.
What You'll Bring: - 3-5 years of experience in software or data engineering, ideally with exposure to client-facing or consulting environments.
- Technical delivery ownership: you take end-to-end accountability for the features and systems you build.
- Developing consulting instincts - you think about the client's problem, not just the engineering task.
- Strong problem decomposition instincts - you consider edge cases, weigh tradeoffs between approaches, and can explain your technical decisions clearly.
- Proficiency in backend API development and at least one frontend framework (e.g., React, Angular, Vue); comfortable working across multiple languages and frameworks.
- Working knowledge of cloud platforms (AWS, Azure, or GCP), relational databases, and DevOps fundamentals (CI/CD, containerization).
- Comfort navigating both software and data engineering contexts - reading from and writing to data systems, contributing to pipelines, and understanding how data shapes product decisions.
- Active fluency with AI development tools - you use them regularly, can evaluate their output critically, and are building your own practices around AI-assisted delivery.
- Experience building software in enterprise team settings, following established standards and contributing to shared codebases.
- Strong communication skills with the ability to explain technical work to varied audiences.
- Previous consulting or client management experience is preferred.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field - or equivalent demonstrated experience.
#LI-HYBRID
#LI-JS1
The good-faith base salary range for this role is listed below, reflecting the amount UDig is willing to pay at the time of this posting. The specific sublevel and salary offered will be determined by the candidate's skills, relevant experience, qualifications, and internal equity.
The range reflects base salary only. This role is also eligible for performance-based incentive compensation, which may include a cash bonus, along with a comprehensive set of health and financial benefits.
UDig does not request or rely on salary history in determining compensation and will not retaliate against any applicant for requesting the salary range or for declining to provide compensation history.
Pay Range
$80,750-$109,250 USD
