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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 ...

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 ...

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 ...

Hudson Data LLC

Sr. Java Developer - IV

Jersey City, NJ · On-site

$62.75 - $80/hr

JAVA, JEE, Spring, Hibernate, Python, Data modeling, Apache Spark & Apache Tomcat, Sybase/Oracle, GXT/GWT or other UI frameworks, REST/SOAP Web Services, Unix/Linux, Perl, Shell Scripting ...

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Python Data information

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How much do python data jobs pay per hour?

As of Sep 9, 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.

Urgent Need Data Engineer : Contract Remote only

Newark, NJ • On-site

Tech Mirrors
See more jobs at Tech Mirrorsexternal

$80 - $100/hr

Other

Posted 10 days ago

Key responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes.

  • Build and support analytics solutions, including dashboards and BI reports, to convert data into business insights.

  • Collaborate with stakeholders to gather requirements and implement data solutions.

Job description

Job Role: Data Engineer

Job Location: Remote/Onsite (5days/week)

Job Type: Contract

Pay Range: $65 - $70 /hour

Role Descriptions Job Summary

We are seeking a skilled Data Engineer with experience in building scalable data pipelines, analytics solutions, and business intelligence platforms. The ideal candidate should have strong expertise in SQL, Python, data warehousing, dashboard development, and data visualization. The candidate will work closely with business stakeholders, product teams, and data consumers to transform raw data into actionable insights and support data-driven decision-making.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
  • Build and support analytics solutions that convert large volumes of operational and transactional data into meaningful business insights.
  • Develop data models and optimize SQL queries for reporting and analytics needs.
  • Create dashboards and BI reports to monitor business KPIs and operational health metrics.
  • Collaborate with business users, product teams, and engineering teams to gather requirements and deliver data solutions.
  • Implement data quality controls, monitoring, and alerting mechanisms to ensure accuracy and reliability.
  • Support data migration, integration, and modernization initiatives across enterprise platforms.
  • Participate in Agile ceremonies including sprint planning, backlog grooming, and stakeholder reviews.
  • Analyze business data and provide recommendations to improve operational efficiency and business performance.
Required Technical Skills
  • Data Engineering
  • Data Pipeline Development
  • ETL/ELT Processes
  • Data Integration
  • Data Modeling
  • Data Warehousing
  • Data Migration
  • Data Quality Management
  • Analytics Engineering
  • Programming & Querying
  • SQL
  • Presto SQL
  • SAS SQL
  • Python
  • MySQL
  • Cloud & Data Platforms
  • Snowflake
  • Large-scale Analytics Platforms
  • Data Storage and Processing Solutions
  • Business Intelligence & Reporting
  • Tableau
  • SAP Business Objects
  • Dashboard Development
  • KPI Reporting
  • Data Visualization
  • Executive Reporting
  • Tools & Methodologies
  • Jira
  • Asana
  • Agile/Scrum
  • Requirements Gathering
  • Stakeholder Management
Preferred Qualifications
  • Experience supporting consumer technology, financial services, or enterprise analytics environments.
  • Experience working with user-level telemetry, operational analytics, and real-time monitoring dashboards.
  • Experience with AI-driven analytics or automation solutions.
  • Strong understanding of business intelligence and reporting best practices.
  • Experience working with cross-functional business and engineering teams.
Education
  • Bachelor's degree in information technology, Computer Science, Information Systems, Engineering, or a related field.
Essential Skills: AI/ML Engineer
  • Digital : BI Data Visualization - Tableau
  • Digital : NOSQL
  • Agile DevOps for Senior Management
  • Digital : Python for Data Science
  • AI and Automation
  • AI & Gen AI - Products & Tools Experience Required: 8-10
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