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Python Pandas Jobs in New York (NOW HIRING)

Emvia, Inc.

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Qualifications: 7+ years of software development experience Strong Python programming skills Experience with industry standard tools like Anaconda, Pandas pyCharm, Maven, SVN, GitHub etc. Working ...

Oxbridge Health

Data Analyst

Norwalk, CT · On-site

Bachelor's degree ideally in a quantitative field, such as statistics, mathematics, economics, or computer science. * 1-2 years of experience using Python (pandas/numpy) for data analysis, including ...

Winaxis

Lead Python Developer

New York, NY · On-site

$153.20K - $188.20K/yr

Lead Python Developer - Lead the design, development, and deployment of enterprise-grade applications, primarily in the finance sector. - Utilize expertise in Python, PySpark, FastAPI, Pandas, Polars ...

Braze

Senior Software Engineer I, Full-stack

New York, NY

$129.60K - $232.20K/yr

Python (Pandas, TF, Fast API, Great Expectations), SQL (not required for this role although some experience with Python would be helpful) * We write well-tested, type-hinted, documented, modular code ...

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How much do python pandas jobs pay per hour?

As of May 29, 2026, the average hourly pay for python pandas in New York is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

What is a Python Pandas job?

A Python Pandas job involves working with the Pandas library to manipulate, analyze, and visualize data efficiently. Professionals in these roles typically clean and preprocess datasets, perform exploratory data analysis (EDA), and generate insights for decision-making. They are commonly found in data science, analytics, and engineering fields, often working with big data, automation, or business intelligence tools. Strong knowledge of Python, SQL, and data visualization libraries like Matplotlib or Seaborn may also be required.

What are the key skills and qualifications needed to thrive in the Python Pandas position, and why are they important?

To thrive in a Python Pandas role, you need strong expertise in Python programming, data manipulation, and analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like Jupyter Notebook, SQL databases, and data visualization libraries, as well as certifications in data analytics or Python, are common. Excellent problem-solving skills, attention to detail, and the ability to communicate findings clearly make candidates stand out. These skills ensure you can efficiently handle complex datasets, derive actionable insights, and effectively collaborate with data teams.

What are the main responsibilities for professionals working with Python Pandas in a data-driven role?

Professionals specializing in Python Pandas are typically responsible for cleaning, transforming, and analyzing large datasets to support business decisions. They collaborate closely with data scientists, analysts, and stakeholders to create data models, generate reports, and provide insights that guide strategy. Daily tasks may include scripting data pipelines, troubleshooting data issues, and presenting findings in an accessible format. This role often provides opportunities for growth into senior analyst, data engineering, or data science positions, especially as you gain experience in advanced analytics or machine learning applications.
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Python Pandas jobs near you

Python Data Integration Developer

SysMind Tech

Manhattan, NY • On-site

$55.25 - $76.25/hr

Contractor

Posted 8 days ago

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.

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