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Python Data Jobs in New York (NOW HIRING)

ConsultAdd, Inc.

Python Developer

Jersey City, NJ

$52.50 - $72.25/hr

SOA-based integration and data management; process-driven SAP implementation; and strategic process ... For Python: PYTHON developer responsible for integrating the front-end elements into the ...

Apolis

Python Engineers

Passaic, NJ

$60/hr

They leverage Python's capabilities to handle complex calculations, automate processes, and analyze vast amounts of data. Location: Charlotte, NC & NJ (Onsite) And Dallas TX Pay rate- $60 (Max) No of ...

Grinteq

Python Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

As a full-stack engineer, you will get to work on transforming large data sets in the backend to ... Python proficiency and working knowledge of a Python framework is a must, familiarity with Django ...

ConsultAdd, Inc.

python developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

We are looking for a Python Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic ...

HSSSoft

Python Developer

New York, NY

$55 - $75.75/hr

Knowledge of big data environments is desired, using Pydoop library. * Experience with PL SQL. * Knowledge of version and revision control practices and procedures. Qualifications Python, JAVA, C ...

ConsultAdd, Inc.

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

SOA-based integration and data management; process-driven SAP implementation; and strategic process ... Skills And Qualifications Expert in Python, with knowledge of at least one Python web framework ...

Sarian, Inc.

Python Developer

Newark, NJ · On-site

$52.50 - $72.50/hr

... large amount of data (Query performance). * Should be able to cover API development in Python ... Closely working with other developers, protect owners and testers to provide suggestive fixes.

SA Technologies Inc.

Python Developer

New York, NY

$55 - $75.75/hr

Candidate will ideally be someone who has experience with the use of Python in the data analysis/big data and ideally, econometrics spaces particularly has experience with Risk Analytics programming.

Dlapiper

Data Engineer

New York, NY

$125K - $150K/yr

Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse ...

Mitchell Martin

Python Engineer

Jersey City, NJ · Hybrid

Python Engineer Join our team as a Python Engineer in a hybrid role across various locations ... This contract position involves designing and implementing data processes using generic ...

MM International

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Role: Python Developer Location: Can sit hybrid 3 times a week in Jersey City or Charlotte ... CI/CD pipeline Experience with Bash scripting Experience with Data preparation and basics of Pandas ...

ConsultAdd, Inc.

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

SOA-based integration and data management; process-driven SAP implementation; and strategic process ... Skills And Qualifications Expert in Python, with knowledge of at least one Python web framework ...

Varsity Tutors

Python Tutor

Hempstead, NY · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Varsity Tutors

Python Tutor

Westfield, NJ · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Varsity Tutors

Python Tutor

Norwalk, CT · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Varsity Tutors

Python Tutor

New Brunswick, NJ · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

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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.
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