Mid-Level
Analyst Python Developer
As a Python Developer (Analyst) within our team, you will contribute to the development and support of full-stack applications and data-enabled services. You’ll work on building FastAPI back-end services, React-based front ends, Databricks jobs/notebooks for data processing, and integrations with SharePoint for document/workflow enablement. You will apply engineering best practices (testing, documentation, CI/CD, observability) and help ensure solutions meet performance, resiliency, and security standards.
Job Responsibilities:
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Develop and maintain Python backend services using FastAPI, including well-structured REST APIs and service-layer logic.
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Build and enhance React.js front-end components and pages with a focus on usability, performance, and maintainability.
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Create and productionize data workflows in Databricks (notebooks, jobs, workflows), including transforming and validating data.
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Design and implement data models and persistence using SQLite (schemas, queries, indexing basics, migrations as needed).
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Build and support integrations with SharePoint (e.g., document storage, metadata, lists/workflows) aligned to business needs.
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Write clean, testable code; contribute to unit/integration tests, code reviews, and automated quality checks.
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Assist with environment setup, deployments, and operational readiness (logging, monitoring, troubleshooting, runbooks).
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Partner with stakeholders to clarify requirements, estimate work, and deliver iteratively with strong ownership and attention to detail.
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Maintain clear technical documentation for APIs, workflows, and support procedures.
Required Qualifications, Capabilities, and Skills:
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3+ years of software development experience (or equivalent project/internship experience with strong hands-on delivery).
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Strong Python skills, including API development experience with FastAPI (or similar REST frameworks).
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Experience building UI features with React.js and modern JavaScript/TypeScript development practices.
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Working knowledge of Databricks and Spark-based data processing concepts (ETL/ELT, transformations, job execution).
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Proficiency with SQL and relational data concepts; experience with SQLite or similar relational databases.
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Familiarity with integrating enterprise platforms such as SharePoint (files/lists/metadata; APIs or connectors).
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Understanding of software engineering fundamentals: version control (Git), testing, debugging, and secure coding practices.
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Strong communication skills and ability to collaborate across teams.
Preferred Qualifications, Capabilities, and Skills:
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Experience with API best practices (OpenAPI/Swagger, validation, authentication/authorization patterns, pagination, error handling).
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Familiarity with front-end patterns (state management, component libraries, accessibility, performance optimization).
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Experience operationalizing Databricks workloads (scheduling, parameterization, cluster configuration basics, monitoring).
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Exposure to CI/CD pipelines and DevOps practices (build/test automation, deployment workflows).
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Understanding of application security basics (secrets handling, dependency hygiene, input validation, least privilege).
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Ability to propose improvements, learn quickly, and take ownership of deliverables in a fast-paced environment.
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