Senior Full-Stack Engineer

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Senior Full Stack Engineer

Job Family/Job Family Group: Engineering / Technology

Job Level: Senior

About the Role

As a Senior Full Stack Engineer, you'll lead the design, architecture, and implementation of high-throughput data integration pipelines that connect critical internal systems and external partner data sources to our core platform. Operating across modern backend ecosystems and data platforms, you will be responsible for defining technical patterns, standards, and scalable ingestion workflows that enable repeatable, resilient integrations across an expanding ecosystem of tools and applications.

We are looking for someone who is proactive, self-organized, and resilient—a technical leader who excels at translating complex functional requirements into clear, manageable solutions while mentoring cross-functional peers and upholding rigorous technical documentation standards.

Responsibilities

• Architect and implement robust, production-grade Python extraction tools that interface with partner APIs, expertly managing authentication, pagination, error handling, rate limits, and data reliability at scale.

• Design and manage end-to-end ingestion pipelines to write extracted data directly into the cloud data warehouse in alignment with established architectural patterns.

• Define data models adhering to platform standards, ensuring processed data is structured for accessibility, integrity, and consistent consumption across client-facing interfaces and reporting layers.

• Implement and maintain SQL transformation logic using dbt to bridge the gap between raw source data structures and the presentation layer, adhering to industry best practices and convention.

• Standardize and document integration workflows, producing comprehensive guides and technical blueprints to make integration repeatable across multiple partner applications.

• Lead technical design discussions, breaking down ambiguous, large-scale problems into actionable milestones and actionable technical sub-tasks.

• Collaborate with cross-functional engineering, product, and data stakeholders to ensure unified data governance, reliability, and security compliance.

• Optimize and monitor platform pipeline performance, driving root-cause analysis for edge-case integration failures and continuously refining error-recovery protocols.

About You

The essentials

• 10+ years of professional software engineering experience across the full development lifecycle.

• Expert Python proficiency, with demonstrated history in building production-grade API clients, custom data pipelines, and scalable backend services.

• Advanced data warehousing experience, including schema design, modeling, and loading into platforms such as Snowflake, Redshift, or Google BigQuery.

• Deep proficiency with dbt and SQL, including building modular, testable transformation workflows and maintaining clean data lineage.

• Proven track record consuming and integrating complex third-party and internal RESTful APIs, with expertise in resilient error handling and distributed systems.

• Demonstrated leadership in a senior individual contributor or tech lead capacity, driving data integration workstreams and defining architectural standards.

• Excellent problem-solving and documentation skills, with the ability to clearly structure discussions, gather stakeholder requirements, and maintain detailed engineering specs.

• Fluent professional English (written and verbal), required for everyday collaboration across distributed, international teams.

Not a Must but a Plus