Data/Backend Engineer

COMPANY OVERVIEW

10x clinician productivity

Your work will directly impact millions of individuals with autism and their families. You'll be at the forefront of healthcare data innovation, building the data infrastructure that powers our AI-driven solutions and creates real social impact.

ROLE OVERVIEW

Data/Backend Engineer

As part of our core AI/ML team, you'll build robust data pipelines that transform healthcare data into actionable insights, supporting our mission to democratize autism care through technology.

KEY RESPONSIBILITIES

Data Engineering & Pipeline Development

• Design, build, and optimize

  batch and streaming data pipelines

  using Python and Pandas
• Transform and enrich structured and semi-structured datasets from healthcare sources including EHR systems, clinical assessments, and behavioral tracking data
• Ensure reliability, performance, and scalability of data ingestion processes handling sensitive healthcare information
• Implement data quality checks and monitoring systems to maintain data integrity across all pipelines

API & Backend Development

• Develop

  RESTful APIs

  using Flask, FastAPI, or equivalent frameworks
• Build robust backend services for data access, aggregation, and delivery to internal teams and external healthcare partners
• Create efficient data serving layers that support real-time analytics and AI model inference
• Implement secure data access patterns compliant with healthcare data regulations

Cloud & Infrastructure

• Deploy and manage data infrastructure on cloud platforms (AWS preferred, Azure/GCP acceptable)
• Implement serverless data processing solutions for cost-effective scaling
• Design and maintain data warehouses and data lakes optimized for healthcare analytics
• Ensure HIPAA-compliant data storage and processing practices

TECHNICAL REQUIREMENTS

Core Data Engineering Skills

• 3+ years of experience

  in data engineering roles with Python, SQL, and data pipeline development
• Strong proficiency in

  Python data stack

  : Pandas, NumPy, SQLAlchemy, and data manipulation libraries
• Experience with

  ETL/ELT frameworks

  : Apache Airflow, Prefect, or similar orchestration tools
• Hands-on experience with

  SQL databases

  (PostgreSQL, MySQL) and

  NoSQL systems

  (MongoDB, Redis)
• Knowledge of

  data warehousing concepts

  and tools like Snowflake, BigQuery, or Redshift

API & Backend Development

• Proven experience building

  RESTful APIs

  using Flask, FastAPI, Django REST Framework, or similar
• Understanding of API authentication, rate limiting, and security best practices
• Experience with

  microservices architecture

  and containerization (Docker, Kubernetes)
• Knowledge of message queues and event-driven architecture (RabbitMQ, Apache Kafka)

PREFERRED QUALIFICATIONS

Cloud & DevOps

• Experience with AWS services: S3, Lambda, RDS, Redshift, Glue, or equivalent services on Azure/GCP
• Proficiency in Infrastructure as Code (Terraform, CloudFormation)
• Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
• Strong understanding of version control with Git and collaborative development workflows

Healthcare & Domain Expertise

• Experience working with healthcare data and understanding of medical data formats (HL7, FHIR)
• Knowledge of healthcare compliance requirements (HIPAA, data privacy regulations)
• Familiarity with autism research, behavioral analysis, or special education domains
• Experience with remote patient monitoring or telehealth data systems