
Data Infrastructure Specialist
1 day ago
We are seeking an experienced Data Engineer to join our team.
The ideal candidate will have a strong background in designing, building, and scaling data infrastructure using modern Python technologies such as Polars and FastAPI. This is a unique opportunity for individuals who are passionate about working with large datasets and developing efficient data pipelines.
Responsibilities include:
- Designing and developing modern APIs that serve both raw data and AI-generated insights to client-facing web applications.
- Building and optimizing performant data pipelines using Python, ensuring fast response times and efficient memory usage.
- Collaborating closely with front-end engineers, product managers, and machine learning engineers to deliver seamless, user-focused features.
- Implementing API-first architecture practices, with careful attention to schema design, versioning, and documentation.
- Working across the AWS stack, deploying scalable services that power mission-critical experiences for enterprise users.
- Contributing to system design decisions, database modeling, and service orchestration to ensure resilient, maintainable back-end systems.
- Monitoring and tuning application performance, from query speeds to service latency and throughput.
This role requires a solid understanding of cloud infrastructure, especially the AWS stack (Lambda, ECS, S3, CloudWatch, etc.). The ideal candidate should be proficient in designing, building, and scaling RESTful APIs (GraphQL experience is a bonus) and have strong knowledge of data performance trade-offs.
A career at this organization offers a comprehensive benefits package, a culture of innovation and inclusion, and opportunities for continuous learning and growth. We welcome applications from all candidates and provide reasonable accommodations to ensure equal access to employment opportunities.
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