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Python Data Jobs in New York (NOW HIRING)

MSR Cosmos

GCP Data Engineer with Python

New York, NY · On-site

GCP Data Engineer with Python Location: NYC, NY onsite Duration: Long Term Job Summary Seeking a Specialist with 5 to 7 years of experience in Python and GCP Bigtable to design develop and optimize ...

Hudson River Trading

Data Production Engineer

New York, NY · On-site

$125K - $150K/yr

Onboard datasets, explore data, and automate tasks using a modern Python data stack * Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality ...

Kforce Technology Staffing

AI Engineer

Manhattan, NY · On-site

Python (strong proficiency): Primary codebase is Python - data processing, JSON transformations, modular architecture; Must build tooling and review/generate code at scale * Automated Testing ...

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How much do python data jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python data 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 the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals skilled in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries, especially with certifications or advanced degrees.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, NumPy, or frameworks like Django and Flask, and may involve tasks like scripting, data processing, or web development.

Is Python a high paying job?

Python data roles, such as Python developers or data analysts, tend to offer competitive salaries due to the high demand for programming and data skills. Salaries vary based on experience, location, and industry, but Python-related positions generally pay above average compared to many other tech roles.

What are the key skills and qualifications needed to thrive as a Python Data professional, and why are they important?

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.
What are popular job titles related to Python Data jobs in New York? For Python Data jobs in New York, the most frequently searched job titles are:
What job categories do people searching Python Data jobs in New York look for? The top searched job categories for Python Data jobs in New York are:
Python Data jobs near you
Data Production Engineer

Data Production Engineer

Hudson River Trading

New York, NY

Other

Posted 11 days ago

Job description

Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Data is at the core of everything we do at HRT; we excel at deriving deep insights from all types of data, allowing us to achieve consistent success in a dynamic market. 

This role is an opportunity to work directly with live trading teams to support one of the largest automated trading systems in the world. You will write automation, explore data, work closely with our research and trading teams, and interact with a variety of external partners such as data providers, brokers, and exchanges. In addition to being a critical part of the trading process, you will have the opportunity to acquire, analyze, and prepare data for quantitative research. 

Responsibilities

  • Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
  • Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
  • Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
  • Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Profile

  • Track record of being detail-oriented and thorough
  • You excel in problem solving and researching large datasets to resolve complex issues
  • You have a collaborative attitude that lends itself to cross-team customers and projects 
  • You thrive in the fast-paced environment of a daily live trading operation 

Qualifications

  • 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline 
  • Experience in Python strongly preferred 
  • Experience managing ETL pipelines is a plus
  • Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus
  • Comfortable with the Linux command line
  • Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
  • Able to provide technical support in a production trading environment

Apply