Senior Data and AI Engineer

Intap; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Wellness program

Flexible time off

Volunteer time off

Donation matching

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python for data processing

dbt

Docker

Kubernetes

AWS

SQL

data modeling

MCP servers

orchestration

CI/CD

Education

Bachelor's degree in computer science or related field

Tools

Git

dbt

Airflow

Cloud data warehouses (Redshift/Snowflake/BigQuery)

IaC (Terraform/CloudFormation)

Job description

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 engineeringDesign, 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 engineeringDesign 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 impactWork 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.Here, you will have the opportunity to: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.#LI-MT1Intapp 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.Please note: Intapp will not hire through text message, social media, or email alone. We will never extend a job offer unless you have been contacted directly by an Intapp recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in person meetings. Please note that Intapp only uses company email addresses, which contain “@intapp.com” or “@dealcloud.com” to communicate with candidates via email. Intapp will never ask for financial information of any kind or for any payment during the job application process. We post all legitimate job openings on the Intapp Career Site at https://www.intapp.com/working-at-intapp/. If you believe you were a victim of such a scam, you may contact your local authorities. Intapp is not responsible for any claims, losses, damages, or expenses resulting from scammers.