Data/Backend Engineer

We are seeking a Data/Backend Engineer with strong hands-on experience in Python-based ETL pipelines and cloud-native development on AWS.
You will work directly with the customer’s technical leadership, participating in architecture discussions, solution design, and ongoing implementation for a long-term project.
Core Responsibilities:
Develop and maintain Python ETL pipelines, data ingestion flows, and processing jobs.
Build backend components and microservices deployed on AWS Kubernetes (EKS).
Integrate and optimize data models, APIs, and batch/real-time processes.
Collaborate with technical stakeholders to understand requirements and translate them into scalable solutions.
Ensure reliability, observability, and performance of pipelines and services.
Work in a hybrid environment, coordinating closely with onsite teams and customer technical representatives.
דרישות התפקיד
Required Skills & Experience:
3–5+ years of hands-on backend or data engineering experience.
Strong proficiency in Python, specifically for ETL/data pipelines.
Experience with AWS services (Lambda, S3, EC2, IAM, VPC, etc.).
Hands-on work with Kubernetes (preferably AWS EKS).
Understanding of CI/CD processes and Git-based workflows.
Ability to work independently with customer teams and present technical solutions clearly.
Nice to Have:
Experience with Neo4j or other graph databases.
Experience with Frontend (React) development.
Knowledge of streaming platforms, data modeling, or distributed systems.
Experience working in consulting, retainer, or hourly engagement models.