Senior AI & Data Engineer, Intapp
3-5 days a week in office (Palo Alto, CA)
Bringng the power of Applied AI to firm professionals
Be an early applicant
Bringng the power of Applied AI to firm professionals
1001+ employees
Be an early applicant
3-5 days a week in office (Palo Alto, CA)
1001+ employees
Company mission
To help professionals turn knowledge, relationships, and operational insights into value.
Role
Who you are
- The ideal candidate brings great communication skills, deep expertise in Python, containerization, cloud-native architectures, and modern data warehousing, with a growing interest in AI agents and emerging integration patterns
- 7+ years of professional experience in data engineering or related roles
- Proven track record building and operating production data pipelines at scale
- Python: Advanced proficiency including data libraries (pandas, PySpark, SQLAlchemy), testing frameworks, and packaging
- Containerization & Orchestration: Strong hands-on experience with Docker and Kubernetes (EKS, GKE, or self-managed clusters)
- Data Warehousing: Deep expertise with Redshift or Snowflake, including performance tuning, data modeling, and administration including DBT
- AWS: Extensive experience across the AWS ecosystem, particularly data-related services (S3, Glue, Lambda, IAM, VPC, CloudWatch)
- SQL: Expert-level SQL skills for complex analytical queries and data transformations
- Experience with workflow orchestration tools (Airflow, Dagster, etc.)
- Familiarity with version control (Git), CI/CD pipelines, and agile development practices
- Strong understanding of data governance, security, and compliance principles
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; or equivalent practical experience
- Relevant certifications a plus (AWS Data Analytics, Snowflake SnowPro, Kubernetes CKA/CKAD)
Desirable
- Experience with or exposure to AI agents, LLM integrations, or Model Context Protocol (MCP) implementations
- Background in real-time streaming architectures (Kafka, Kinesis, Flink)
- Experience with dbt for transformation layer management
- Familiarity with data observability and quality tools (Monte Carlo, Great Expectations, dbt tests)
- Knowledge of additional programming languages (Scala, Java, Go)
- Experience in professional services, legal tech, or enterprise SaaS environments
What the job involves
- We are seeking a Senior Data Engineer to design, build, and optimize scalable data infrastructure that powers business intelligence, analytics, and AI-driven applications
- Design and implement robust, scalable ETL/ELT pipelines to ingest, transform, and deliver data across the organization
- Build and maintain data models optimized for analytical workloads and downstream consumption
- Develop reusable frameworks and libraries to accelerate data engineering workflows
- Architect and manage cloud-native data solutions on AWS, leveraging services such as S3, EC2, ECS, ECR and EventBridge
- Deploy and orchestrate containerized workloads using Docker and Kubernetes in production environments
- Implement infrastructure-as-code practices using Terraform, CloudFormation, or similar tools
- Design and optimize data warehouse architectures using Redshift or Snowflake
- Develop efficient data models, partitioning strategies, and query optimization techniques
- Manage data lifecycle, governance, and cost optimization within warehouse environments
- Explore and integrate AI agents and Model Context Protocol (MCP) patterns into data workflows where applicable
- Collaborate with AI/ML teams to ensure data infrastructure supports model training, inference, and feature engineering needs
- Stay current with emerging data and AI technologies, evaluating their potential business impact
- Partner with analytics, product, and engineering teams to understand data requirements and deliver solutions
- Mentor junior engineers and contribute to team best practices, code reviews, and technical documentation
- Participate in architectural decisions and contribute to the data platform roadmap
Our take
The professional and financial services industries face a lot of challenges, and Intapp helps firms bring everything together in one cloud-based platform, connecting people, processes, and data so they can make better decisions, work more efficiently, and reduce risk. Its software is built specifically for firms like law, accounting, consulting, private capital, and investment banking, so they can manage everything from deals and clients onboarding to compliance and billing.
Intapp has grown its platform through a number of acquisitions, which have added new tools for collaboration, billing, and deal management, It's also focused on Ai-powered features, helping firms use their data smarter and automate routine tasks. And partnerships with companies like Microsoft Azure and other data providers strengthen the platform even further, making is easier for firms to connect systems and get insights.
Founded in 2000, Intapp went public in 2021 and now serves more than 2,6000 firms worldwide. Its cloud business is growing steadily, and more of its tools now include AI and automation to make work faster and simpler. With its continued focus ons amrt, industry-specific solutions, the company is well positioned to stay a leader in helping professional and financial firms run more efficiently in a fast-changing world.
Steph
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Company benefits
- Time away: In addition to generous paid time off, we recognize most major regional holidays.
- Flexibility: Intapp provides a highly flexible work environment to help employees successfully juggle work, wellness, and personal obligations.
- Wellness: Wellness is about being healthy and balanced in all areas of your life. We provide medical benefits for you and your family that offer quality, flexibility, and value.
- Saving and investing: We offer a variety of savings and investment programs to help you plan for the future and reach your financial goals.
- Family: We strive to be a great place to work for those with families. Benefits like paid parental leave, including adoptive leave, make it easier to take time off to welcome your new addition.
- Growth: We offer a variety of trainings and opportunities to help you increase your knowledge, build new skills, and take charge of your career.
Company HQ
Ventura, Palo Alto, CA
Leadership
Thad Jampol
(Co-Founder & CPO)Prior to co-founding Intapp in 2000, Thad received a BS in Computer Science from the University of California, Los Angeles.
David Morton
(CFO & Executive VP)David joined Intapp in 2023 as an Executive VP and CFO. Prior to this, he was an Executive VP and CFO at DigiCert and Anaplan. He also spent a brief stint at Tesla as a Chief Accounting Officer.
Don Coleman
(COO)Prior to joining Intapp in 2003, Don was a Director of Business and Corporate Development at Excite@Home. Her also co-founded the Stanford Student Enterprises and served as the CEO for 1 year.
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