Intapp · 13 hours ago
Senior AI & Data Engineer
Palo Alto, CA
Full-time
Onsite
Senior Level
7+ years expIntApp is seeking a Senior Data Engineer to design, build, and optimize scalable data infrastructure that powers business intelligence, analytics, and AI-driven applications. The role involves developing robust ETL/ELT pipelines, managing cloud-native data solutions, and collaborating with analytics and AI/ML teams to support model training and inference needs.
Business DevelopmentConsultingData IntegrationFinancial ServicesLegalProfessional ServicesRisk ManagementSoftware
Responsibilities
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
Qualification
Required
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
Preferred
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
Relevant certifications a plus (AWS Data Analytics, Snowflake SnowPro, Kubernetes CKA/CKAD)
Benefits
Professional development opportunities supported by a community of experienced professionals
Reimbursement for training and continuing education
Complimentary lunches
Fully stocked kitchens
Comprehensive wellness and flexible time off programs
Family-formation benefits
Paid volunteer time off
Donation matching program
Company
Intapp
Intapp is a provider of industry-specific, cloud-based software solutions that enable connected professional and financial services.
1001-5000 employees
H1B Sponsorship
Intapp has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (6)
2022 (17)
2020 (7)
Funding
Current Stage
Public CompanyTotal Funding
unknown2021-06-29IPO
2017-04-12Private Equity
2013-02-05Private Equity
Leadership Team
John Hall
CEO
Thad Jampol
Co-Founder / Chief Product Officer
Recent News
2026-01-20
2025-11-08
Company data provided by crunchbase