GIST Impact
Website:
gistimpact.com
Job details:
We are seeking an experienced Python Backend Developer to design, build, and optimize scalable data pipelines, robust APIs, and performant backend services. In this role, you will work closely with cross-functional teams to process large-scale environmental and financial datasets, deploy analytical models, and build high-throughput backend systems that power GIST Impact’s analytics platforms.
Responsibilities:
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Architect, develop, and maintain high-performance RESTful APIs and microservices using FastAPI and Pydantic.
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Design, build, and optimize scalable data pipelines and ETL workflows for large-scale financial and environmental datasets.
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Manage and optimize relational databases including PostgreSQL and MySQL, focusing on schema design, query optimization, and indexing strategies.
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Develop interactive data dashboards and visualization components using Plotly Dash.
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Establish comprehensive automated test suites using Pytest to ensure reliability, performance, and code quality.
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Lead architectural enhancements for data management systems and backend microservices.
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Mentor engineering team members, conduct code reviews, and drive best practices in Python development.
Requirements
Requirements:
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Degree in Computer Science or relevant experience in Software Development.
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2-3+ years of software engineering experience specializing in Python backend development or data engineering.
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Deep expertise in Python web frameworks (FastAPI) and data validation using Pydantic.
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Solid proficiency in relational databases including PostgreSQL and MySQL, with strong SQL optimization skills.
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Hands-on experience with data visualization tools and analytical applications using Plotly Dash.
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Experience integrating machine learning models using Scikit-learn into production pipelines.
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Strong automated testing discipline with Pytest.
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Comfortable with Version Control Systems, specifically GitHub.
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Proven track record of processing and managing large-scale data workflows.
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Familiarity with Linux systems and basic scripting.
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Understanding of best practices for system architecture, including high availability and security.
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