COMPANY OVERVIEW Autism affects 1 in 36 children globally. By 2025, over a million American children will still lack essential care due to a dire shortage of Applied Behavior Analysis (ABA) clinicians. Neuromnia is a Texas-based healthcare startup leveraging human-centered AI to 10x clinician productivity , making quality autism care scalable and accessible. 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 We are seeking a skilled Data/Backend Engineer to join our team remotely from the Greater Hyderabad Area . This is a 6-month contract position with strong potential for permanent placement based on performance and company growth. 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
