Senior Data & AI Engineer: Governed Pipelines & AI

Intap; Charlotte (NC); Presencial; USD 140.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Wellness program

Flexible time off

Volunteer time off

Donation matching

Descripción de la vacante

Intapp is seeking a senior data engineer to build the data foundation and governed AI services. You will own pipelines from source to model in Python and dbt, deploy 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 across data engineering and applied AI, partnering with business teams to deliver scalable, production-ready solutions.

Formación

• 8+ years of professional data engineering experience with production ownership.
• Strong Python for data processing, automation, and services plus hands-on dbt development.
• Docker and Kubernetes experience to deploy, scale, and troubleshoot data workloads.
• AWS experience across storage, compute, networking, and security.
• Advanced SQL and data modeling, warehousing, and performance tuning.
• Practical knowledge of Model Context Protocol (MCP) for LLMs.
• Experience building or deploying agentic workflows, including orchestration and monitoring.
• Bachelor's degree in computer science, engineering, or related field, or equivalent experience.

Responsabilidades

• Design, build, and operate batch and incremental pipelines in Python with dbt.
• Containerize workloads with Docker and run on Kubernetes with CI/CD and IaC.
• Develop MCP servers and connectors for governed data access to agents.
• Deploy and operate agentic workflows, including tool use, evaluation, and guardrails.
• Collaborate with stakeholders to define problems and deliver in small, tangible steps.
• Review code and mentor engineers to raise design and testing standards.

Conocimientos

Python for data processing

dbt

Docker

Kubernetes

AWS

SQL

data modeling

MCP servers

orchestration

CI/CD

Educación

Bachelor's degree in computer science or related field

Herramientas

Git

dbt

Airflow

Cloud data warehouses (Redshift/Snowflake/BigQuery)

IaC (Terraform/CloudFormation)

Descripción del empleo

Intapp is seeking a senior data engineer to build the data foundation and governed AI services. You will own pipelines from source to model in Python and dbt, deploy 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 across data engineering and applied AI, partnering with business teams to deliver scalable, production-ready solutions.