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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 ...

Mondo

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Data Engineer II Location-Type: Remote (EST hours preferred) Start Date Is: ASAP Duration ... This will include writing and maintaining code in Python and SQL, developing on AWS, and selecting ...

Fubo

Software Engineer, Data Engineering

New York, NY · Hybrid

$190K/yr

Scala, Go, Python * Data Processing Framework: Apache Beam, Scio * Streaming: Apache Kafka, Google Pub/Sub * Orchestration: Airflow * Cloud & Infrastructure: GCP, Docker, Kubernetes * Data Storage ...

Fubo

Software Engineer, Data Engineering

New York, NY · On-site

$190K/yr

Scala, Go, Python * Data Processing Framework: Apache Beam, Scio * Streaming: Apache Kafka, Google Pub/Sub * Orchestration: Airflow * Cloud & Infrastructure: GCP, Docker, Kubernetes * Data Storage ...

1 point system

Data Engineer (AWS & Python)

Newark, NJ · On-site

$119K - $143K/yr

The ideal candidate will have extensive hands-on experience building scalable data pipelines using Python and AWS cloud services. An active AWS Certification and exceptional communication skills (10 ...

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Python Data information

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$14

$64

$94

How much do python data jobs pay per hour?

As of Aug 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 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 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 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 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.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

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
Infographic showing various Python Data job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Data Scientist Alternative (NY)

Capital Fund Management (CFM)

Manhattan, NY • On-site

$90 - $130/hr

Other

Re-posted 8 days ago

Job description

Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients. We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.

Your Role

The Data Insights/Data Science Alternative team collaborates closely with Research to perform predictive statistical analyses and derive valuable insight over a wide variety of datasets.

Key Responsibilities

As an expert in data analysis and information extraction, you will be involved in every stage from the exploration to the production, including:

  • Extracting actionable features from alternative data
  • Designing robust, efficient, scalable, and monitored production pipelines
  • Support Quantitative Researchers in their day-to-day activities
  • Understanding business issues to identify new opportunities
  • End-to-end ownership of the features and production build
  • Ensuring continuous technology watch
Your Skills

You have a master’s degree (ideally a Master’s in machine learning or data science) from engineering school or university equivalent.

At Least a 2 years of expertise in the Python data science stack.

You are familiar with cloud services, such as AWS.

At least 2 years of expertise in machine learning, especially on time series, on a production environment.

You bring experience with LLM-assisted coding, agentic AI, and prompt engineering, focused on developing robust, production-grade solutions for financial use cases.

You are versatile, autonomous, and rigorous, with a team player attitude andgood communication skills.

You are keen to develop in an environment that handles large volumes of data.

EQUAL OPPORTUNITIES STATEMENT

We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.

CFM is a signatory of the Women Empowerment Principles.

Nearest Major Market: Manhattan

Nearest Secondary Market: New York City

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