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Temporary Accounting Python Jobs (NOW HIRING)

Prior experience in accounting and/or financial reporting of private credit funds is a plus. * Strong knowledge of US GAAP and private markets industry. * Experience in development (VBA/SQL/Python ...

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How much do temporary accounting python jobs pay per hour?

As of May 30, 2026, the average hourly pay for temporary accounting python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.
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Python Data Integration Developer

SysMind Tech

Manhattan, NY โ€ข On-site

$55.25 - $76.25/hr

Contractor

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Python Data Integration Developer
Basic Information
  • Experience Level: 5-10 years

Required Skills
  • Strong Python 3.x experience for data ingestion and transformation.
  • DataFrame processing expertise (Polars preferred, Pandas acceptable).
  • Relational database modeling skills.
  • Familiarity with Geneva's data structures (output layouts, not platform config).
  • AWS (S3, ECS/Fargate, RDS - Postgres).
  • API consumption (GraphQL, REST, JSON).
  • Strong experience deploying Geneva in the Private Credit / Fund space, including multi-layer SPV/Fund structures.
  • Knowledge of Geneva securities.

Nice-to-Haves
  • Working Java knowledge for ORM integration.
  • Experience with Snowflake as a staging area.
  • Knowledge of bitemporal data models.
  • Workflow automation (BPMN tools).

Core Responsibilities
  • Ingest and transform Geneva output data (post-trade, portfolio, accounting) into internal ORM (Postgres + ORM).
  • Develop Python-based data importers for ingestion and transformation.
  • Assist in implementing Java components for ORM integration and bitemporal data model handling.
  • Map Geneva data to internal relational structures, ensuring accuracy and referential integrity.
  • Use GraphQL APIs to deliver data in standardized formats.
  • Collaborate with internal teams to enhance ingestion workflows and support reporting.
  • Document, maintain, and test ingestion processes.
  • Support AWS-hosted infrastructure for data pipelines (ECS/Fargate, S3, RDS).
  • Use Snowflake for temporary staging of rapidly evolving datasets when needed.