Brazil - Remote: Back-end Developer (Python)

Date: Jun 18, 2026

Location:

Rio de Janeiro, RJ, BR, 291941

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

About the Role

We are looking for a Backend Developer with strong Python expertise to build and enhance scalable data-driven applications and microservices. In this role, you will work on designing and implementing robust APIs, data processing pipelines, and real-time analytics solutions. You will collaborate with cross-functional teams to deliver high-performance, cloud-native applications in a dynamic and innovative environment.

Key Responsibilities

Develop and maintain backend services and REST APIs using Python frameworks (FastAPI, Flask, or Django)
Design and implement microservices architecture and event-driven systems
Work with relational databases (PostgreSQL) and NoSQL databases (Redis, MongoDB)
Implement caching strategies and optimize application performance
Develop and manage database schemas using SQLAlchemy and Alembic
Implement pub/sub architecture using Kafka or RabbitMQ
Deploy and manage containerized applications using Docker and Kubernetes
Design and optimize data models for both relational and NoSQL databases
Collaborate with cross-functional teams to deliver scalable, high-quality solutions
Troubleshoot, debug, and resolve issues in production systems
Stay current with trends in backend development, cloud technologies, and data engineering

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related technical field
5+ years of professional software development experience (preferred)
Strong proficiency in Backend development
Hands-on experience building REST APIs with FastAPI, Flask, or Django
Practical experience with ORMs, preferably SQLAlchemy and Alembic for database management
Experience with relational databases, particularly PostgreSQL
Knowledge of NoSQL databases (Redis, MongoDB)
Understanding of microservices and event-driven architecture
Familiarity with Docker and containerization
Strong understanding of data structures and data modeling
Experience with cloud platforms (Azure, AWS, or Google Cloud)
Proficiency with Git and version-control workflows
Excellent analytical, debugging, and problem-solving skills
Ability to work independently and collaboratively in a fast-paced environment
Experience working in Agile/Scrum development environments
Strong communication skills in English (written and verbal)

Knowledge, Skills, and Abilities

Build and maintain data processing pipelines using modern data tools
Knowledge of Medallion architecture and Delta Lake
Experience with workflow orchestration tools (Airflow)
Familiarity with object storage solutions (S3, Minio)
Understanding data quality frameworks and data modeling for data lakes
Experience with data streaming using Kafka
Experience with WebSocket and real-time data streaming
Knowledge of pub/sub patterns with Kafka or RabbitMQ
Experience with Kubernetes orchestration in production environments
Understanding of caching strategies and distributed systems
Experience with data processing libraries (Pandas, Polars, Duck DB, Spark)
Experience in the Oil & Gas industry

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Location

Fully remote position.

Job Details

Requisition Number: 209783
Experience Level: Mid-level, Senior or Principal.
Job Family: Engineering/Science/Technology
Product Service Line: Landmark Software & Services
Full Time / Part Time: Full Time

Compensation Information
Compensation is competitive and commensurate with experience.