Data Engineer

CleanSlate?Technology Group (CSTG) is a modern technology consulting firm transforming how organizations use Data , AI , and Cloud Modernization to fuel innovation.

As a top-tier cloud partner, we design and deliver cloud-native solutions and modern data platforms that unlock the power of data, accelerate digital transformation, and enable businesses to build what’s next.

We help clients break through legacy limitations, simplify complexity, and create future-ready technology foundations that inspire new possibilities.

At CSTG, you’ll be part of a team that empowers organizations to innovate faster, make smarter decisions, and compete boldly in a rapidly evolving digital world.

Through our Data and AI Practice , we partner with clients to build scalable, reliable data foundations across AWS and Azure.

Our focus is on modern data engineering—developing data platforms and pipelines that enable analytics, machine learning, and AI in real-world production environments.

We believe strong data engineering is critical to making AI useful, trustworthy, and sustainable.

CSTG consultants combine proven engineering practices with a hands-on consulting mindset, helping clients move from strategy to implementation while delivering solutions aligned to real business needs.

What does your team look like:

Our teams are highly collaborative and cross-functional, blending CSTG consultants with client stakeholders to solve complex data challenges.

We value engineers who are curious and pragmatic, and who want to “major” in data engineering with a complementary understanding of AI and machine learning to build durable, production-ready data solutions.

What does your role look like:

As a Data Engineer in CSTG’s Data and AI Practice, you will be a hands-on contributor building and maintaining data engineering solutions for client engagements.

You will work as part of a delivery team to develop data platforms and pipelines that support analytics, machine learning, and AI use cases.

Data Engineers focus on execution, learning, and growth, contributing to solution design, applying established patterns and best practices, and building experience delivering production-ready data solutions.

As a consulting role, this position includes interaction with client stakeholders and requires clear communication and a professional presence.

This role provides an opportunity to grow your data engineering capabilities while gaining experience across a variety of client engagements and problem domains.