IT Softwaree Engineer

Triwill Group; Northern (KY); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Triwill Group seeks an IT Software Engineer - Data to own the data foundation enabling GenAI solutions for higher education and public-sector clients. You will design, build, and maintain reliable cloud data pipelines that make sensitive client information usable for AI applications.

The role combines data engineering, governance, classification, security, and architecture in a collaborative, remote setting, primarily using Google Cloud technologies and analytics/RAG use cases.

Qualifications

• Experience designing and building scalable cloud data pipelines.
• Familiarity with data governance, privacy, and security considerations.
• Exposure to GenAI concepts and retrieval-augmented generation (RAG) is a plus.

Responsibilities

• Design, build, and maintain cloud data pipelines for AI applications.
• Identify data quality, access, privacy, and compliance risks before production.
• Collaborate with engineering, delivery, operations, and client teams to translate requirements into scalable solutions.
• Contribute to reusable data and AI capabilities in a distributed tech environment.

Skills

Data engineering

Data governance

Data security

Privacy compliance

Cloud data pipelines

GenAI concepts

Tools

Google Cloud

Cloud data pipelines

Job description

Google Cloud Data Engineering Data Governance Data Classification Data Security Data Architecture Cloud Data Pipelines Analytics Retrieval-Augmented Generation Agentic AI Risk Identification Privacy Compliance

Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an IT Software Engineer - Data based in the United States.

• This remote role owns the data foundation supporting advanced GenAI solutions for higher education and public-sector clients.
• You will design, build, and maintain reliable cloud data pipelines that make sensitive client information usable for AI applications.
• The role combines data engineering, governance, classification, security, and architecture in a highly collaborative environment.
• You’ll work primarily with Google Cloud technologies, supporting analytics, retrieval-augmented generation (RAG), and agentic AI use cases.
• A key part of the role is identifying data quality, access, privacy, and compliance risks before they affect production systems.
• You’ll partner with engineering, delivery, operations, and client technical teams to turn scoped requirements into scalable solutions.
• The position offers an opportunity to contribute to reusable data and AI capabilities while working in a distributed, fast-evolving technology environment.