Python Engineer, Financial Data Platform – Integrations

Job not on LinkedIn

🕒 July 31

🗽 New York – Remote

🗽 New York – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cardiff

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2004

💸 Finance

💳 Fintech

🤝 B2B

Finance • Fintech • B2B

Cardiff is a business finance provider that offers a range of lending products for small and medium-sized businesses. Cardiff provides business credit cards, business loans, equipment financing (including ability to finance both titled and non-titled transactions), lines of credit, merchant cash advances, and SBA loans, and targets industry verticals such as auto repair, construction/contracting, dental practices, excavation, landscaping, masonry, plumbing, restaurants, and trucking. The company positions itself as a partner for businesses needing payroll, new equipment, or other working capital needs.

📋 Description

• Ship at least one production integration with a financial or credit data provider (Experian, Plaid, or a bank transaction source) end to end • Implement automated validation and quality checks across the pipelines you own, so failures surface before they reach downstream consumers • Ship or materially extend a FastAPI service that exposes provider data internally, with tests and documentation another engineer can pick up cold • Deliver a documented data model and schema mapping for at least one provider domain, built alongside our domain experts and analysts • Demonstrate one LLM-assisted extraction workflow on unstructured input (bank statements, credit memos), with output validation in place • Design, build, and run the FastAPI services that expose financial and credit data to internal consumers: API design, auth, versioning, pagination, and clear error handling • Own the integration layer with external providers (Experian, Plaid, bank transaction sources): retries, backoff, rate limiting, credential handling, and graceful degradation when a provider slows down or goes dark • Build the pipelines that land provider data in Cardiff's systems, including Snowflake, using serverless ETL on AWS (Glue, Athena, Step Functions, S3 data lakes), supporting both batch and near-real-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 Cardiff's security, privacy, and regulatory obligations, with Legal, Compliance, and Security owning final interpretation and sign-off • Apply LLM APIs for extraction and classification of unstructured documents where it earns its keep, with model outputs validated before they enter the pipeline • Maintain the unit tests, integration tests, and documentation for every component you own

🎯 Requirements

• 5+ years of Python backend engineering on data-intensive systems, with the emphasis on recent, demonstrable work • Production backend services built and operated in a modern Python framework (FastAPI preferred; Flask or Django fine), including API design, auth, testing, and async programming • Reliable third-party API integration (retries, idempotency, rate limits, partial failures, observability), ideally against financial APIs from credit bureaus, banks, or payment processors • Substantial hands-on Snowflake experience in production: loading, modeling, and large-scale querying • AWS data services for pipeline orchestration (Glue, Athena, S3, Step Functions, Lambda), including data lake layouts and partitioning that keep 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 Pandas.

🏖️ Benefits

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