Python Developer

Dexian Brasil; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A tech company in Brazil is seeking a Python Backend Developer for a long-term, fully remote position. The role involves building and maintaining backend services, supporting data pipelines, and collaborating closely with product and engineering teams. Candidates should have strong experience in Python, familiarity with data-heavy systems, and a hands-on, delivery-focused approach to work. This position promises a dynamic environment in a startup context.

Qualificações

• 3+ years of Python backend development experience.
• Experience working in startup or early-stage companies.
• Familiarity with data analysis using Pandas.

Responsabilidades

• Build and maintain Python-based backend services.
• Support data pipelines processing large datasets.
• Collaborate closely with product and engineering teams.

Conhecimentos

Python backend development

Experience with data-heavy systems

API development (REST)

Pandas

Cloud environments (AWS/GCP/Azure)

Ferramentas

PySpark

Databricks

Descrição da oferta de emprego

Overview

Title: Python Backend Developer

Duration: Long Term

Location: 100% Remote (BR)

Responsibilities

• Build and maintain Python-based backend services
• Support data pipelines processing large datasets (mobility, infrastructure, analytics)
• Work with dataframes (Pandas and similar)
• Support APIs used by internal and external platform components
• Collaborate closely with product and engineering teammates
• Execute assigned work with speed and consistency in a startup environment
• This is a hands-on, delivery-focused role, not research-heavy, not overly abstract.

Core Technical Requirements

• Startup or early-stage company experience
• Python backend development experience
• Experience working with data-heavy systems or data pipelines
• Comfort working with dataframes (Pandas required; PySpark is a plus, not a must)
• API development experience (REST)
• Familiarity with cloud environments (AWS/GCP/Azure – any is fine)
• Ability to work independently and hit deadlines

Nice to Have

• Exposure to big data tooling (Parquet, Databricks, Spark)
• Some geospatial or analytics experience