Remote Data Platform Engineer (Python & APIs)

United States Digital Space LLC; United States; Remote; USD 120,000 - 125,000; Full time

Benefits offered by this job

Health insurance

Stock options

Wellness subscription

Home-office stipend

401k plan

Parental leave

Flexible time off

Holidays

Job summary

BranchA is recruiting an Enterprise Engineer to join our Data team. You will architect and build data systems, APIs, and internal tools using Python, Streamlit, and lightweight web apps to power internal workflows.

We value clarity, maintainability, and rigorous engineering practices. This remote role lets you contribute from anywhere in the United States, with a strong emphasis on cross-functional collaboration and reliable, well-documented code.

Qualifications

• 2+ years of Python experience
• 1+ years of full-stack development
• Strong proficiency in SQL and working with relational databases
• Strong communication skills and ability to work cross-functionally

Responsibilities

• Build and maintain MCP servers that expose data platform capabilities and enterprise business systems to internal tools and AI workflows in a deterministic way
• Build internal APIs to enrich the ecosystem of programmatically addressable resources
• Build lightweight web apps and dashboards using Streamlit to support internal processes
• Develop stateful applications that ensure SOP of various processes are followed in order
• Develop and maintain automated workflows and pipelines in Python
• Write clean, well-documented code and contribute to a culture of technical quality

Skills

Python

Full-stack development

SQL

Cross-functional communication

Tools

FastAPI

Flask

Streamlit

Job description

BranchA is recruiting an Enterprise Engineer to join our Data team. You will architect and build data systems, APIs, and internal tools using Python, Streamlit, and lightweight web apps to power internal workflows.

We value clarity, maintainability, and rigorous engineering practices. This remote role lets you contribute from anywhere in the United States, with a strong emphasis on cross-functional collaboration and reliable, well-documented code.