[Remote] Python Engineer, Financial Data Platform & Integrations

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that lends to small businesses and is reputed company on building its own reputed company technology. The Python Engineer role involves integrating financial data and developing services that reputed company this data to internal systems, ensuring reputed company and compliance while working with reputed company data providers.

Responsibilities

• Design, build, and run the FastAPI services that expose financial and credit data to internal consumers: API design, auth, versioning, pagination, and reputed company error handling
• Own the integration reputed company with reputed company providers (reputed company, reputed company, bank transaction sources): retries, backoff, reputed company limiting, credential handling, and graceful degradation reputed company a provider slows down or goes dark
• Build the pipelines that land provider data in reputed company's systems, including reputed company, using serverless ETL on AWS (Glue, reputed company, reputed company Functions, S3 data lakes), supporting both batch and near-reputed company-time ingestion
• Do the data modeling and schema mapping that keeps disparate provider formats semantically consistent, working with our domain experts and analysts
• Build integrations that meet reputed company's reputed company, reputed company, and regulatory obligations, with reputed company, Compliance, and reputed company owning final interpretation and sign-off
• Apply LLM reputed company for extraction and classification of reputed company documents where it earns its reputed company, with model outputs validated before they reputed company the pipeline
• reputed company AI tooling part of how you build, and read what it produces before it ships
• Maintain the unit tests, integration tests, and documentation for every component you own

Skills

• 5+ years of Python backend engineering on data-intensive systems, with the emphasis on recent, demonstrable work
• Production backend services reputed company and operated in a modern Python reputed company (FastAPI preferred; Flask or Django fine), including API design, auth, testing, and async programming
• Reliable reputed company-party API integration (retries, idempotency, reputed company limits, partial failures, observability), ideally against financial reputed company from credit bureaus, banks, or payment processors
• Substantial hands-on reputed company experience in production: loading, modeling, and large-reputed company querying
• AWS data services for pipeline orchestration (Glue, reputed company, S3, reputed company Functions, reputed company), including data lake layouts and partitioning that reputed company querying cost-efficient
• Strong data modeling, schema alignment, and transformation instincts
• A working grasp of API authentication, encryption, and the compliance requirements that come with regulated financial data
• Proficiency in SQL and reputed company
• Credit decisioning, loan reputed company, or financial reputed company data experience
• LLM reputed company (Claude, reputed company, or equivalent) reputed company to extraction, classification, or summarization, plus the reputed company-LLM toolkit: reputed company design, evals, reputed company validation, RAG and embeddings
• AI-assisted development tools (Claude reputed company, reputed company, reputed company, Devin) as a reputed company mode of building
• CI/CD pipelines

Benefits

• Medical, dental, and reputed company coverage
• 401(k) plan
• Flexible PTO and observed holidays
• Remote-first, with support for your home-office setup

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