Senior Backend Data Engineer
Read straight from Eleos Health's careers page, verified 3d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationTel Aviv Office, Tel Aviv, Israel
Work modehybrid
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentR&D
Company size51–200 people
PostedMar 16, 2026 · 7mo ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on Mar 16, 202656% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
At least 5 years of experience with Python in backend or data engineering roles
Hands-on experience working on ML/AI-powered products in production
Familiarity with modern LLM and RAG technologies
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
Familiar with data processing and streaming technologies: Apache Spark, DBT, Airflow, Airbyte, Kafka
Familiar with API development: FastAPI, micro-service architecture, SFTP
Familiar with data storage: Data Lakehouse architectures, Apache Iceberg, Vector Databases, RDS
Familiar with ML/AI libraries and frameworks: Gemini, Hugging Face
Familiar with cloud infrastructure: AWS stack (S3, Firehose, Lambda, Athena), Kubernetes
Skills
Python
Apache Spark
DBT
Airflow
Airbyte
Kafka
FastAPI
SFTP
Apache Iceberg
Vector Databases
RDS
Gemini
Hugging Face
AWS
S3
Firehose
Lambda
Athena
Kubernetes
LLM
RAG
Benefits
Equity
Hybrid work
Mental health days
Who is Eleos Health?
The people who deliver care in our communities and homes do some of the most important work in healthcare. But too often, theyʼre asked to spend their time navigating paperwork, administrative burden, and problems they only discover after something has already gone wrong.
Eleos exists to change that.
Weʼre building the system of action for community-based care - helping behavioral health, hospice, home health, and other care teams spend less time reacting to problems and more time focused on the people they serve.
Powered by our Polaris AI, Eleos works alongside clinicians and their teams to understand whatʼs happening across care in real time and take action before issues become problems, reducing administrative burden, protecting revenue and compliance, and giving care teams more time and capacity to deliver great care.
Our vision is a world where care teams can stay one step ahead, rather than constantly catching up. Weʼre helping shift an entire industry from reactive to proactive, and we need talented people to help us get there.
What is this opportunity?
We are seeking a Senior Backend Engineer – Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power Eleos Health.
You’ll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.
Who are you?
You are a seasoned backend or data engineer with experience working on production-grade ML/AI-powered products. You thrive in fast-paced, high-ownership environments and are passionate about building scalable and reliable systems. You understand the unique requirements of delivering AI/ML features in production, and you are comfortable working with modern technologies in the LLM/RAG ecosystem.
You pride yourself on delivering high-quality solutions quickly, without sacrificing design or reliability. You’re known for your responsiveness, collaborative spirit, and service-oriented mindset—especially when you’re on-call and the stakes are high.How will you contribute?
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.
What qualifications and skills will help you to be successful?
•
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.
•
Familiar with or have worked with these technologies (or alternatives):
•
Data Processing & Streaming: Apache Spark, DBT, Airflow, Airbyte, Kafka
•
API Development: FastAPI, micro-service architecture, SFTP
•
Data Storage: Data Lakehouse architectures, Apache Iceberg, Vector Databases, RDS
•
ML/AI: ML/LLM libraries and frameworks (such as Gemini, Hugging Face, etc.)
•
Cloud Infrastructure: 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.
This is a unique opportunity to join a startup that is having a meaningful impact on the well-being and mental health of thousands. We have
•
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
•
We offer 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.