Senior Data Platform Engineer

About the role

Connecteam, a platform for managing deskless teams used by over 80,000 businesses worldwide, is looking for an experienced, hands-on Backend Engineer to build high-scale data platforms and products for its business teams. The role works with large datasets and scalable systems, developing internal tools that support data-driven decisions. The team builds the backend systems and data infrastructure the rest of the company relies on: internal products, APIs, event pipelines and integrations with external tools, serving over 1.7 million daily active users. LLMs and agents are part of the job, used to write, review and debug code and shipped inside the product.

Key responsibilities

• Develop internal tools and products for teams across Connecteam.
• Build and maintain services and APIs supporting complex, multi-step workflows.
• Operate in a real-time, event-driven environment at high volume.
• Create and manage data pipelines, including the checks that keep data trustworthy.
• Design and ship LLM and agent features: tool use, prompts, evaluation, and the limits around cost, latency and quality.
• Use coding agents as part of normal delivery and raise the quality of what they produce.
• Take ownership of multiple systems and products.
• Work in a multi-cloud environment (Azure, GCP, AWS).
• Integrate third-party tools with the platform.
• Turn ambiguous business requirements into a technical plan and lead it to production.

Required profile

• Minimum 8 years as a Backend Engineer.
• Proven experience writing and maintaining services and REST APIs in production, at a scale where volume and failure handling matter.
• Hands-on experience with event-driven development.
• Daily use of LLMs and coding agents in how you build.
• Big data experience is a plus.

Required skills

• Python: at least 8 years, or deep backend experience with a fast ramp onto Python.
• Strong SQL proficiency.
• Multi-cloud environments (Azure, GCP, AWS).
• Tech stack: FastAPI, Tornado, SQLAlchemy, Pydantic, MySQL, MongoDB, Redis, BigQuery, RabbitMQ, Kafka, Google Pub/Sub, Airflow, Airbyte, Kubernetes, Prometheus, Grafana, React, TypeScript, LLMs and agent frameworks.