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Python Pandas Jobs in New York (NOW HIRING)

Winaxis

Lead Python Developer

New York, NY · On-site

$153K - $188K/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 ...

Deutsche Bank

Associate

New York, NY · On-site

$127K - $129K/yr

... Python for data analytics, including data science libraries, Pandas, NumPy, and scikit-learn; producing visualizations and interactive dashboards using Tableau, Python, Matplotlib, and Seaborn ...

EvolutionIQ

Business Analyst

Manhattan, NY · On-site

Required : • 3+ years as a Business Analyst or similar role, preferably within Disability Insurance, FinTech, or a SaaS company leveraging Machine Learning. • Proficiency in Python (Pandas ...

Braze

Senior Software Engineer I, Full-stack

New York, NY · On-site

$129K - $232K/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 Jul 22, 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 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 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 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.

What are the most commonly searched types of Python Pandas jobs in New York? The most popular types of Python Pandas jobs in New York are:
What are popular job titles related to Python Pandas jobs in New York? For Python Pandas jobs in New York, the most frequently searched job titles are:
What job categories do people searching Python Pandas jobs in New York look for? The top searched job categories for Python Pandas jobs in New York are:
Python Pandas jobs near you
Infographic showing various Python Pandas job openings in New York as of July 2026, with employment types broken down into 70% Full Time, 8% Part Time, and 22% Contract. Highlights an 90% In-person, 2% Hybrid, and 8% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Python Data Integration Developer

SysMind Tech

Manhattan, NY • On-site

$55.25 - $76.25/hr

Contractor

Posted 2 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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