Senior Data Engineer

This is a fully remote position, open to applicants in Cyprus, +6 more states.

📋 Description

• Design, construct, and maintain streaming data pipelines.

• Create custom ingestion pipelines from third-party APIs, webhooks, and SDKs.

• Transition existing data ingestion pipelines from SaaS platforms to the company’s infrastructure.

• Ensure data is delivered to the raw layer of the Snowflake warehouse with schema consistency, idempotency, and resilience against malformed or delayed data.

• Enhance the AWS streaming stack, which includes Kinesis, SQS, Lambda, and API Gateway, to improve cost efficiency, observability, and reliability.

• Manage Terraform infrastructure as code for ingestion and processing resources.

• Monitor pipelines, diagnose issues, and resolve incidents.

• Contribute to secure data access for AI agents and tools.

• Continuously refine ingestion architecture, tooling, and engineering practices.

• Make independent architectural decisions and review the work of peers.

• Take ownership of and oversee production systems.

⛳️ Requirements

• Over 5 years of professional Python experience in a backend or data engineering capacity.

• Strong understanding of distributed systems architecture, including load balancing, sharding, and the trade-offs between synchronous and asynchronous processing.

• Practical experience with cloud services, preferably AWS, including Lambda, API Gateway, and containers in ECS/EKS.

• Background in building streaming pipelines using Kinesis, SQS, or similar technologies.

• Familiarity with infrastructure as code practices using Terraform or similar tools.

• Proficient in SQL, including the use of joins and window functions.

• Professional experience managing real-world production data, including messy, duplicated, delayed, or malformed inputs.

• Comprehensive understanding of data flow through production systems and how to prevent downstream issues.

• Operational mindset with comfort in owning and overseeing production systems.

• Capability to make independent architectural decisions and review the work of colleagues.

• Strong SQL and data modeling skills (preferred).

• Experience with Snowflake and dbt (preferred).

• Familiarity with workflow orchestration tools such as Airflow, Dagster, or Prefect (preferred).

• Experience collaborating with analytics and product teams as a data provider (preferred).

• Background in handling sensitive or regulated data (preferred).

🏝️ Benefits

• Open-minded teams and a welcoming, inclusive company culture.

• Opportunity to make a significant impact with a transformative health tech product.

• Competitive salary package based on expertise, skills, and contributions to the product.

• Stock options.

• Options for in-office, remote, and hybrid work arrangements.

• Equipment provided to ensure your happiness and productivity.

• Premium SIMPLE subscription.

• 21 days of annual leave, in addition to bank holidays recognized in your location.

• Flexible working hours focused on results rather than time spent at your desk.