<p>Kforce has a client that is seeking a Python Developer in Sarasota, FL. You will join an internal development team and own Python-based work at the intersection of data and analytics.</p> <p>Typical work includes:</p> <ul> <li>Build and extend Python services that ingest, normalize, and score bank-transaction and document data from third-party providers (e.g., OCR and bank-verification vendors) </li><li>Write analytics pipelines against MySQL and Salesforce data - monthly funding breakdowns, vintage performance, charge-off analysis, portfolio segmentation, underwriting comps </li><li>Partner with underwriting and finance to translate business logic into code: cash-flow classifiers, risk flags, pricing segmentation, and pre-approval rule sets </li><li>Maintain and improve production services on AWS (Elastic Beanstalk, RDS/MySQL, S3, Lambda) </li><li>Contribute to our internal AI tooling - model-backed document parsers, Claude-powered analysis workflows, and MCP servers that connect LLMs to Salesforce and our data warehouse </li><li>Participate in code review, light on-call for the services you own, and continuous improvement of our deployment and observability story* 1-4 years of professional experience writing production Python </li><li>Strong SQL - you can write, read, and tune a non-trivial query against MySQL or a similar RDBMS </li><li>Comfort with pandas and data-wrangling work against messy, semi-structured inputs (JSON, CSV, XML, PDFs) </li><li>Exposure to financial or analytics domains - ideally loan performance, banking, payments, credit risk, fintech, accounting automation, insurance, or trading; Internships and analyst work count </li><li>Familiarity with REST APIs, Git, and at least one cloud provider (AWS strongly preferred) </li><li>Clear written communication; You can explain a data finding to a non-engineer </li></ul> <p>Nice to have:</p> <ul> <li>Any finance coursework, CFA/FRM progress, or a quantitative degree </li><li>Flask or FastAPI in production </li><li>Experience with Salesforce data (SOQL, reports, or API-based integration) </li><li>Prior work with OCR/document-AI pipelines or bank-transaction categorization </li><li>Exposure to modeling frameworks (scikit-learn, H2O, statsmodels) or BI tools (Looker, Tableau) </li><li>Hands-on with LLM tooling - Anthropic/OpenAI APIs, LangChain, or MCP </li></ul>