Jobs at Djinni

We are hiring a Senior Data Engineer / Data Platform Engineer to join an innovative healthcare project focused on optimizing administrative workflows for medical institutions.

Doctors currently need to log into 20–30 different systems to ensure treatments are properly covered by insurance companies. The client’s solution aggregates and synchronizes data across these systems, significantly reducing manual effort and processing time.

The product is funded by insurance companies — neither doctors nor patients pay for it. The environment is dynamic, high-impact, and technically demanding, with strong focus on data reliability and scalability.

Key Responsibilities

• Own and maintain Airflow pipelines (DAG design, orchestration, monitoring, optimization)

• Build and maintain dbt models in Snowflake, ensuring reliable and scalable transformations

• Maintain and improve Python-based ETL services

• Develop and support production Flask-based data APIs

• Work with async processing workflows (Celery, Redis, background tasks)

• Support AI/ML/LLM-powered data pipelines and workflows

• Improve system reliability, monitoring, and observability

• Troubleshoot and resolve production issues

Must-Have Requirements

Data & Backend Engineering

• 5–8+ years of experience in data engineering, data platform, or backend-heavy data roles

• Strong SQL and Python skills

• Comfortable debugging and supporting production systems

Data Stack

• Deep hands-on experience with dbt

• Strong experience with Snowflake

• Experience maintaining and optimizing Airflow DAGs

• Experience building or maintaining production Flask applications

Async & Distributed Systems

• Experience with distributed task queues (e.g., Celery or similar)

• Familiarity with Redis

• Understanding of async processing patterns

Cloud & Infrastructure

• Experience operating in AWS (S3, ECS, Lambda, etc.)

• Experience improving monitoring, logging, and reliability

Mindset

• Comfortable working from high-level requirements

• Able to operate in ambiguous, fast-evolving environments

• Ownership mindset and proactive problem-solving approach

Interview Process

HR Interview → Technical Interview → Client Interview → Offer