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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.