Senior Data and AI Engineer

Intapp; Charlotte (NC); Vor Ort; USD 140.000 - 180.000; Vollzeit

Benefits dieser Stelle

Professional development reimbursement

Complimentary lunches

Wellness program

Volunteer time off

Donation matching

Zusammenfassung

Intapp is seeking a senior data engineer to build the data foundation and governed AI services on top of it. You will own pipelines from source to model using Python and dbt, containerize with Docker, and deploy on AWS with Kubernetes.

You will expose trusted data to agents via MCP servers and work closely with business teams to turn requests into robust solutions. The role blends traditional data engineering with applied AI, offering opportunities to mentor, improve standards, and contribute to

Qualifikationen

• 8+ years of professional data engineering experience with end-to-end ownership of production systems.
• Strong Python for data processing and dbt experience including models, tests, macros, and deployment.
• Hands-on Docker and Kubernetes experience to deploy, scale, and troubleshoot data workloads with IaC/CI/CD.
• Solid AWS experience across core services for storage, compute, networking, and security.
• Advanced SQL and data modeling with warehousing performance tuning.
• Practical knowledge of Model Context Protocol (MCP) and governance for LLMs.

Aufgaben

• Design, build, and operate batch and incremental pipelines in Python, with dbt for transformation, testing, and documentation.
• Containerize workloads with Docker and run on Kubernetes, using CI/CD and IaC to ship safely and often.
• Build MCP servers and connectors for governed access to enterprise data and tools.
• Deploy and operate agentic workflows, including tool use, orchestration, evaluation, observability, and guardrails.
• Review code and mentor engineers, raising standards for design, testing, and documentation.

Kenntnisse

Python

dbt

Docker

Kubernetes

AWS

SQL

MCP

Agentic workflows

Ausbildung

Bachelor's degree in CS/Engineering or related field

Tools

Git

CI/CD

Jobbeschreibung

Position Overview

We're hiring a senior 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 Model Context Protocol (MCP) servers.

Position Overview

We're hiring a senior 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 Model Context Protocol (MCP) servers. This is a hands-on role with broad reach. You will move between traditional data engineering and applied AI work, and partner directly with business teams to turn requests into working solutions that people rely on.

What you'll do

Data engineering

• Design, build, and operate batch and incremental pipelines in Python, with dbt for transformation, testing, and documentation, and fix issues at the source.
• Containerize workloads with Docker and run them on Kubernetes, using infrastructure as code and CI/CD to ship safely and often.
• Build on AWS services for storage, compute, orchestration, and security, and tune for cost and performance.

AI and agentic engineering

• Design and build MCP servers and connectors that give agents governed access to enterprise data and tools.
• Deploy and operate agentic workflows in production, including tool use, orchestration, evaluation, observability, and guardrails.
• Set patterns for authentication, access control, and auditability, and test new AI techniques so only the ones that matter reach production.

Team and business impact

• Work with stakeholders to define the problem, agree on the outcome, and deliver in small, visible steps.
• Review code and mentor engineers, raising the team's standards for design, testing, and documentation.

What you'll need

• 8 or more years of professional data engineering experience, with a record of owning production systems end to end.
• Strong Python for data processing, automation, and services, plus hands-on dbt: models, tests, macros, and deployment.
• Working experience with Docker and Kubernetes to deploy, scale, and troubleshoot data workloads, with Git, CI/CD, and infrastructure as code.
• Solid AWS experience across core services for storage, compute, networking, and security.
• Advanced SQL and a sound grasp of data modeling, warehousing, and performance tuning.
• Practical knowledge of Model Context Protocol: you have built, deployed, or integrated MCP servers or similar tool interfaces for LLMs.
• Experience building or deploying agentic workflows, including orchestration, tool calling, evaluation, and monitoring, and the judgment to separate useful AI patterns from hype.
• Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.

Nice to have

• Orchestration experience with Airflow or a comparable tool.
• Experience with a cloud data warehouse such as Redshift, Snowflake, or BigQuery.
• Familiarity with enterprise source systems such as CRM, ERP, and finance platforms, and the data quirks that come with them.
• Experience with retrieval-augmented generation, vector search, or LLM evaluation frameworks.

What you will gain

At Intapp, you'll get the opportunity to bring your talents and intellectual curiosity to create better outcomes for our people and our clients. You'll be part of a growing public company, with a modern work environment that’s connected yet flexible and where your professional growth and well-being are top priorities. We'll collaborate and grow together, supporting each other in a positive, open atmosphere that fosters creativity, innovation, and teamwork.

• Expand Your Skills: Unlock your potential with professional development opportunities supported by a community of experienced professionals. We offer reimbursement for training and continuing education to help you stay ahead in your career.
• Enjoy Where You Work: Thrive in our modern, open offices designed to inspire creativity and collaboration. Our complimentary lunches and fully stocked kitchens ensure you have everything you need to stay energized throughout the day.
• Support What Matters Most: Our comprehensive wellness and flexible time off programs and our benefits are designed to care for you and your family. Our family-formation benefits and support during your family-building journey ensure you have the resources you need when it matters most. We believe in giving back and supporting our communities with paid volunteer time off and a donation matching program for the causes you care about.

Join us and be a part of a collaborative and welcoming culture where your contributions are valued, and your professional growth is a priority. Together, we are building a company of long-term value that we can all be proud of.

Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws.