Software Engineer, Data – Platform

Nym

. Build and maintain reliable data pipelines that ingest, transform, and deliver data from healthcare systems at scale, across millions of charts a year.

Posted 10/11/2026full-timeTel Aviv-Yafo • IsraelMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines, cloud infrastructure on AWS, and ensuring compliance in handling sensitive patient data. Proficient in Python, SQL, and leveraging AI tools to enhance engineering workflows.

Highest-signal resume keywords

Data Engineering ExperiencePython ProficiencyAWS Cloud InfrastructureCI/CD Pipeline DevelopmentSQL and Relational Database Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentETL/ELT ProcessesWorkflow OrchestrationData ModelingQuery OptimizationBatch and Streaming PipelinesAI Tool UtilizationCloud Infrastructure ManagementDatabase Performance TuningCI/CD Implementation

Soft Skills

Clear CommunicationCross-Functional CollaborationAdaptability in Dynamic Environments

Tools & Technologies

AWSPostgreSQLClaude CodeCursorCopilot

Industry Keywords

Healthcare Data SystemsComplianceData SecurityObservabilityScalable Solutions

Tech Stack

Tools & technologies

AWSCloudETLPostgresPythonSQL

About the role

Key responsibilities & impact

Build and maintain reliable data pipelines that ingest, transform, and deliver data from healthcare systems at scale, across millions of charts a year.
Design, build, and operate cloud infrastructure on AWS, managed as code.
Own data modeling, schema management, and database performance in partnership with the DBA.
Improve engineering delivery through CI/CD, environments, observability, and internal tooling.
Use AI coding assistants and agents in daily engineering workflows and apply LLMs and agentic tooling to automate data and platform work.
Ensure the security, reliability, and compliance of systems handling sensitive patient data.
Collaborate with R&D, ML, and Product to turn requirements into scalable data and platform solutions.

Requirements

What you’ll need

5+ years of professional software engineering experience, with significant time spent on backend, data, or platform work.
Strong proficiency in Python.
Proven data engineering experience: building and operating batch or streaming pipelines, ETL/ELT, and workflow orchestration.
Strong SQL skills and experience with relational databases (e.g., PostgreSQL), including data modeling and query optimization.
Hands-on experience with AWS.
Experience building and maintaining CI/CD pipelines.
Hands-on experience using AI tools (e.g., Claude Code, Cursor, Copilot) to accelerate development, and good judgment about where AI helps and where it needs human review.
Clear communication and the ability to work effectively with cross-functional teams.
Experience with working in a global, fast growing, dynamic and often ambiguous environment, across multiple time zones.
Fluent English, written and spoken.