Senior Full-Stack Engineer - Data APIs, Remote

People Data Labs; United States; Hybrid; USD 160,000 - 180,000; Full time

Benefits offered by this job

Stock

Competitive Salaries

Unlimited paid time off

Medical, dental, & vision insurance

Health, fitness, and office stipends

Ability to work anywhere

Job summary

People Data Labs is expanding its Delivery and API Team to accelerate data product development at scale. You will work with engineers to improve APIs and delivery methods while creating new ones, ensuring high-quality data and robust systems for customers.

We value ownership, collaboration, and a continuous learning mindset. Expect autonomy, influence on product direction, and the chance to contribute to data-as-a-service solutions that power modern recruiting and analytics workflows.

Qualifications

• Proven ability to design robust backend services and APIs.
• Experience with Python in production environments.
• Familiarity with cloud infrastructure, containers, and CI/CD.
• Experience with SQL databases and performance tuning.
• Experience writing tests and delivering high-quality code.

Responsibilities

• Develop and improve self-serve product offerings and APIs.
• Collaborate with customer success to support data products.
• Translate business requirements into scalable systems.
• Design frontend-backed components and ensure data integrity.
• Maintain frontend surfaces and overall application stack.

Skills

Software fundamentals

REST API design

Python production

Systems thinking

Frontend collaboration

Cloud and CI/CD

Testing (pytest)

Tools

FastAPI

Django

Flask

PostgreSQL

MySQL

Docker

AWS/GCP

Elasticsearch/OpenSearch

Job description

People Data Labs is expanding its Delivery and API Team to accelerate data product development at scale. You will work with engineers to improve APIs and delivery methods while creating new ones, ensuring high-quality data and robust systems for customers.

We value ownership, collaboration, and a continuous learning mindset. Expect autonomy, influence on product direction, and the chance to contribute to data-as-a-service solutions that power modern recruiting and analytics workflows.