Senior Backend Data Engineer

Описание

This role involves designing, building, and maintaining robust and scalable data pipelines and infrastructure to enable data-driven decision-making and support the development and deployment of AI/ML products at Eleos Health.

Responsibilities

• Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement
• Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all Eleos Health products
• Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines
• Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions
• Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence
• Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations
• Participate in on-call rotations with a service-oriented approach and fast responsiveness
• Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches

Requirements

• At least 5 years of experience with Python in backend or data engineering roles, designing and operating large-scale data pipelines, backend services, and data infrastructure in production environments
• Hands-on experience working on ML/AI-powered products in production, with strong understanding of requirements for integrating data platforms with AI features
• Familiarity with modern LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) technologies, and experience supporting their deployment or integration
• Familiarity with or experience with Data Processing & Streaming technologies such as Apache Spark, DBT, Airflow, Airbyte, Kafka
• Familiarity with or experience with API Development technologies such as FastAPI, micro-service architecture, SFTP
• Familiarity with or experience with Data Storage technologies such as Data Lakehouse architectures, Apache Iceberg, Vector Databases, RDS
• Familiarity with or experience with ML/AI libraries and frameworks (such as Gemini, Hugging Face, etc.)
• Familiarity with or experience with Cloud Infrastructure technologies such as AWS stack (S3, Firehose, Lambda, Athena, etc.), Kubernetes (K8s)
• Demonstrated ability to optimize performance and ensure high availability, scalability, and reliability of backend/data systems
• Strong foundation in best practices for data quality, governance, security, and observability
• Ability to collaborate effectively with engineering, data science, and product teams in a cross-functional setting
• Track record of innovative thinking on feature-level implementations, metric definitions, and AI/data integrations
• Service-oriented approach, particularly in high-responsibility, on-call situations

We offer

• A product that positively impacts peoples' lives every single day
• A team of amazing people with a shared vision and the infinite drive to make it happen
• Significant equity
• Opportunity to build, grow and become highly instrumental in shaping how technology can increase the effectiveness of therapy
• Hybrid work opportunities
• Mental health days off you can take any given moment simply because you need them

Hiring process

• Apply via the provided link