Senior Data & AI Engineer: Build Trusted Data Pipelines

INTEGRATION APPLIANCE, INC.; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Job summary

Intapp is seeking a senior data engineer to build the data foundation and the governed AI services that run on top of it. You will own pipelines from source to model in Python and dbt, ship them on Docker and Kubernetes in AWS, and expose trusted data to agents through MCP servers.

This is a hands-on role with broad reach and collaboration with business teams to turn requests into reliable solutions. This role blends traditional data engineering with applied AI work, focusing on secure,

Qualifications

• 8+ years of professional data engineering experience with end-to-end ownership.
• Strong Python skills for data processing, automation, and services.
• Hands-on dbt experience: models, tests, macros, and deployment.
• Experience deploying containers with Docker/Kubernetes on AWS.
• Advanced SQL and data warehousing with performance tuning.
• Practical knowledge of Model Context Protocol (MCP) for LLMs.

Responsibilities

• Design, build, and operate batch and incremental data pipelines.
• Containerize workloads with Docker and run on Kubernetes, with IaC and CI/CD.
• Develop MCP servers and connectors exposing governed data to agents.
• Deploy and operate agentic workflows, including tool use and evaluation.
• Set authentication, access control, and auditability patterns.
• Review code and mentor engineers to raise standards.

Skills

Python

dbt

AWS

SQL

Docker

Kubernetes

MCP

Data Modeling

CI/CD

Git

Education

Bachelor's degree in Computer Science, Engineering, or equivalent

Tools

Git

Docker

Kubernetes

Terraform

Airflow

Job description

Intapp is seeking a senior data engineer to build the data foundation and the governed AI services that run on top of it. You will own pipelines from source to model in Python and dbt, ship them on Docker and Kubernetes in AWS, and expose trusted data to agents through MCP servers.

This is a hands-on role with broad reach and collaboration with business teams to turn requests into reliable solutions. This role blends traditional data engineering with applied AI work, focusing on secure,