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Senior AI & Data Engineer
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Overview
Job Description
Position Summary
We are seeking a Senior Data Engineer to design, build, and optimize scalable data infrastructure that powers business intelligence, analytics, and AI-driven applications. 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.
What you will do:
Data Infrastructure & Pipeline Development
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
Cloud & Platform Engineering
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
Data Warehousing
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
Emerging Technologies
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
Collaboration & Leadership
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
What you will need:
Experience
7+ years of professional experience in data engineering or related roles
Proven track record building and operating production data pipelines at scale
Technical Skills
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
Foundational Skills
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
Preferred Qualifications:
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
Education
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)
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-MT2
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.
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.
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
