Senior Data & AI Engineer: Pipelines, MCP & Cloud

Intapp; United States; Teletrabalho; USD 140 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional development

Modern offices

Wellness program

Volunteer time off

Resumo da oferta

Intapp in the United States 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 hands-on role spans traditional data engineering and applied AI, collaborating with business teams to turn requests into reliable solutions that scale.

Qualificações

• 8+ years of professional data engineering experience
• Strong Python for data processing and dbt experience
• Hands-on Docker and Kubernetes with CI/CD and IaC

Responsabilidades

• Design, build, and operate batch and incremental pipelines in Python with dbt
• Containerize workloads with Docker and run on Kubernetes
• Build on AWS services for storage, compute, orchestration, and security
• Design MCP servers/connectors for governed access to data and tools
• Deploy and operate agentic workflows, including orchestration, tool calling, evaluation, and monitoring
• Establish authentication, access control, and auditability patterns and test AI techniques

Conhecimentos

Python

dbt

SQL

AWS

Docker

Kubernetes

CI/CD

MCP

Formação académica

Bachelor's degree in CS/Engineering

Ferramentas

Airflow

Redshift

Snowflake

BigQuery

Git

CI/CD tooling

Descrição da oferta de emprego

Intapp in the United States 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 hands-on role spans traditional data engineering and applied AI, collaborating with business teams to turn requests into reliable solutions that scale.