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Python Data Jobs in New York (NOW HIRING)

Syntricate Technologies

Python Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Syntricate Technologies is seeking a Python Data Engineer to join their team. The role involves developing data pipelines and migrating systems to AWS, requiring strong skills in Python, PySpark, and ...

SysMind Tech

Python Data Integration Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

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 ...

mthree

Python Developer/Data Engineer

New York, NY · On-site

$55 - $75.75/hr

As an intermediate-level Python developer in data engineering, you'll design, build, and maintain data pipelines to extract, transform, and load data, ensuring data quality and scalability while ...

mthree

Python Developer/Data Engineer

New York, NY · On-site

$55 - $75.75/hr

As an intermediate-level Python developer in data engineering, you'll design, build, and maintain data pipelines to extract, transform, and load data, ensuring data quality and scalability while ...

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All JobsPython Data JobsPython Data Jobs in New York

Python Data information

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$14

$64

$94

How much do python data jobs pay per hour?

As of Sep 8, 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Python Data Engineer

Syntricate Technologies

Jersey City, NJ • On-site

$125K - $150K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Syntricate Technologies is seeking a Python Data Engineer to join their team. The role involves developing data pipelines and migrating systems to AWS, requiring strong skills in Python, PySpark, and SQL.
Responsibilities:
• Will be creating a pipeline and writing in Pyspark – Migrating from legacy platform to new platform
• This is an AWS Migration project – MUST BE STRONG IN AWS. Databricks is a plus, if it's on the resume they MUST be able to speak to it
• Should have Datalake Experience
Qualifications:
Required:
• 5+ years applied experience
• bachelor's degree required
• Python Programming
• Strong skills around object-oriented analysis and design (OOAD)
• data structures
• algorithms
• design patterns
• Hands-on practical experience in system design
• application development
• testing
• operational stability
• Advanced understanding of agile methodologies such as CI/CD
• Application Resiliency
• Security
• Proficient in coding in Python
• PySpark
• Java 17/21
• Spring Boot
• SQL Databases
• Prior hands-on experience in Cloud technologies - AWS, AZURE
• Strong in Python, Spark, Pyspark, AWS, SQL
• Strong in SQL
• Creating a pipeline and writing in Pyspark
• Migrating from legacy platform to new platform
• MUST BE STRONG IN AWS
• Datalake Experience
• Leads MUST be strong in both java & Pyspark (Python + Spark) – 70% Pyspark – 30% Java
• Other 3 resources need to be strong in Python/Spark/Pyspark
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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