Python Engineer, Financial Data Platform – Integrations

Cardiff

Python Engineer focused on building integrations for financial data at Cardiff. Collaborating with a tech team to optimize data delivery for underwriting processes.

Posted 7/31/2026contractRemote • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python backend engineering, particularly with FastAPI, and has substantial experience in integrating financial data from third-party APIs. Proficient in data modeling, schema mapping, and utilizing AWS data services for efficient pipeline orchestration.

Highest-signal resume keywords

Python Backend EngineeringFastAPI DevelopmentSnowflake ExperienceAWS Data ServicesAPI Integration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonFastAPISQLPandasData ModelingSchema MappingETLAPI DesignAutomated TestingLLM APIs

Tools & Technologies

AWS GlueAWS AthenaAWS Step FunctionsS3Data Lakes

Industry Keywords

Financial DataCredit DataComplianceData PrivacyRegulatory Obligations

Tech Stack

Tools & technologies

AWSDjangoETLFlaskPandasPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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