Hipp is an AI-native healthcare platform built to modernize operations for non-hospital healthcare providers. We partner closely with ABA, behavioral health, and therapy organizations to streamline clinical workflows, billing, and revenue cycle operations — so providers can focus on delivering care.
Our platform combines EMR, billing infrastructure, and operational workflows with AI-driven automation, helping providers run more efficient practices and improve patient outcomes.
We’re building the next generation of healthcare infrastructure and are looking for thoughtful, product-minded engineers who want to build real systems, move quickly, and take ownership in a fast-moving startup environment.
Role Overview
We are seeking an experienced and highly motivated Analytics Engineer to join Hipp Health. This person will drive the creation, maintenance, and improvements of our entire data platform underlying our ML and AI efforts. They will also ideate, create, and refine the data modeling that our clients rely on every day to drive their operations and use to inform their strategic decisions. This role requires a strong background in data visualization, SQL, and data analysis. This person will collaborate with Product Managers and Data Scientists to architect scalable schemas and maintain high standards for warehouse integrity and precision. Experience within the health sector is a significant advantage.
Key Responsibilities
Contribute to the continuous improvement of our data infrastructure and BI processes.
Drive the continued evolution and optimization of our analytics data platform.
Develop, maintain, and manage dynamic dashboards and reports using data visualization tools.
Write complex SQL queries to extract, manipulate, and analyze data from various sources.
Perform in-depth data analysis to identify trends, patterns, and root causes, and present findings clearly to stakeholders.
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
Monitor data quality and integrity, ensuring accuracy and reliability of reports.
Product analytics: understand, analyze usage and use insights to drive data-driven product strategy
Experience
Minimum of 3+ years of professional experience in Analytics Engineering, Data Engineering, or Data Analytics, with a focus on building production-ready data pipelines and models.
Technical Skills
Data Pipelines: Experience with building and maintaining data warehouses for ETL, operational analyses, stakeholder reporting, etc.
Data Engineering: Experience with orchestration layer (e.g., Airflow, Prefect), data governance, OLAP database, schema design, query optimization
Proficiency with Git workflows (branching, pull requests, code reviews) to manage data transformation code.
Data Visualization: Proven expertise in a major BI tool (e.g., Omni, Tableau, Power BI, Looker) for creating compelling reports and dashboards.
SQL Expertise: Advanced skill in writing complex SQL queries for data extraction and analysis, especially in the context of DBT projects.
Data Analysis: Strong analytical and problem-solving skills with the ability to interpret large datasets and provide data-driven recommendations.
Experience with software development best practices (CI/CD, unit testing, documentation, modular coding).
Soft Skills
Excellent communication and presentation skills, with the ability to explain complex data concepts to non-technical audiences.
Detail-oriented with a commitment to producing high-quality, accurate work.
Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
Preferred Qualifications
Experience working in the health industry or with healthcare-related data (e.g., patient data, clinical trials, operational metrics).
Hands-on experience with a programming language outside of SQL or SAS, especially Python or R
Deep experience with DBT
Why Join Hipp
Build real production systems used by healthcare providers every day
Join Hipp’s early engineering team and help shape the architecture, systems, and product foundations of the company
Work at the intersection of AI, healthcare infrastructure, billing, and modern software systems
Own meaningful product and technical problems with a high degree of autonomy
Move quickly, ship often, and have a direct impact on how the company and product evolve
Help modernize healthcare operations for providers delivering critical care to patients
Skills Required
- 3+ years of professional experience in analytics engineering, data engineering, or data analytics
- Experience building production-ready data pipelines and data models
- Experience building and maintaining data warehouses for ETL, operational analysis, and stakeholder reporting
- Experience with orchestration tools such as Airflow or Prefect
- Experience with data governance, OLAP databases, schema design, and query optimization
- Proficiency with Git workflows, including branching, pull requests, and code reviews
- Expertise with a major BI or data visualization tool such as Omni, Tableau, Power BI, or Looker
- Advanced SQL skills, particularly in dbt projects
- Strong data analysis, analytical, and problem-solving skills
- Experience with software development best practices, including CI/CD, unit testing, documentation, and modular coding
- Excellent communication and presentation skills
- Ability to explain complex data concepts to non-technical audiences
- Detail-oriented approach with commitment to data accuracy and quality
- Ability to manage multiple priorities and meet deadlines in a fast-paced environment
- Experience in the health industry or with healthcare-related data
- Programming experience outside SQL or SAS, especially Python or R
- Deep experience with dbt
What We Do
Hipp Health builds an AI-native operating platform for behavioral-health and modern therapy practices, including ABA, speech, and occupational therapy providers. It brings practice operations, care, and finance into one system, with tools and AI agents for patient intake, data collection, clinical notes, scheduling, compliance, analytics, and billing. The platform is designed to reduce administrative work so providers can spend more time delivering care.
