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Python Data Developer Jobs in New York, NY (NOW HIRING)

Benton Partners

Data Engineer

Manhattan, NY · On-site

$150K - $200K/yr

... Python (inc. Numpy & Pandas) as well as significant experience with SQL, as a software developer, quantitative developer or data engineer * Exposure to Relational database engineering or NoSQL ...

Kunai

Senior Software Engineer - Python

New York, NY · On-site

$134K - $176.70K/yr

NYC, New York - Onsite Work Required We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial ...

Kunai

Senior Software Engineer - Python

New York, NY · On-site

$134K - $176.70K/yr

NYC, New York - Onsite Work Required We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial ...

Man Group plc

Senior Quant Developer

Manhattan, NY · Hybrid

$133.90K - $180.20K/yr

You will be the primary NY-based engineer supporting portfolio managers, analysts and quants ... Python (primary), TypeScript/React * Data: Pandas, NumPy, Kafka * Backend: FastAPI, Flask

Man Group

Senior Quant Developer

New York, NY · On-site

$132.90K - $178.90K/yr

Python (primary), TypeScript/React * Data: Pandas, NumPy, Kafka * Backend: FastAPI, Flask ... Collaborate with London and Sofia-based engineers on cross-team initiatives Stakeholder Engagement ...

LTIMindtree

Sr. Big DATA Developer

Rutherford, NJ

$54 - $70/hr

Job Title: Sr. Big DATA Developer Work Location Rutherford, NJ * Primary Skill Big Data * Secondary ... Python Good to Have Skills : Apache Spark, Python for DATA, SparkSQL Benefits/perks listed below ...

Man Group

Senior Quant Developer

Manhattan, NY · Hybrid

$133.90K - $180.20K/yr

Python (primary), TypeScript/React * Data: Pandas, NumPy, Kafka * Backend: FastAPI, Flask ... Collaborate with London and Sofia-based engineers on cross-team initiatives Stakeholder Engagement ...

Alignerr

Data Platform Engineer (Python)

Manhattan, NY · Remote

Data Platform Engineer (Python) About the Role What if your Python expertise could directly shape ... Strong full-stack developer background with solid systems programming fundamentals * Proficient ...

Staffingine LLC

Python developers

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Senior Python Developer Job Location: Jersey City, NJ Job Type: Full-Time * Experienced Python ... Should also have a strong SQL background and have data engineering experience

Polar IT Services

AWS Python Developer with Pyspark

Newark, NJ · On-site

$52.50 - $72.50/hr

Python Developer with AWS & Pyspark (It's backfill Role) Location: New Jersey Mode of work: Hybrid ... Design, develop, and maintain data pipelines and ETL workflows using Python, PySpark, and AWS ...

Kaav Inc.

Data Devops platform Engineer

Stamford, CT · On-site

$122.10K - $146.60K/yr

Must have Devops experience must have * Data Modelling and Database Management: Strong ... Strong skills in Python, Java, or Scala for data manipulation and processing tasks. * APIs and ...

Smart Bot Systems

Senior Python Developer

Jersey City, NJ · On-site

$125K - $130K/yr

involves designing, developing, and maintaining software, with a strong focus on data pipelines and ... Key responsibilities include writing clean Python code, building and optimizing ETL processes, and ...

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Python Data Developer information

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$14

$64

$94

How much do python data developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for python data developer in New York, NY 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 are the key skills and qualifications needed to thrive as a Python Data Developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

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

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in New York, NY? For Python Data Developer jobs in New York, NY, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in New York, NY look for? The top searched job categories for Python Data Developer jobs in New York, NY are:
What cities near New York, NY are hiring for Python Data Developer jobs? Cities near New York, NY with the most Python Data Developer job openings:
Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in New York, NY as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Data Engineer

Benton Partners

Manhattan, NY • On-site

$150K - $200K/yr

Other

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Massar Capital Management, LP

Massar Capital Management, LP ("Massar") is an alternative investment management company founded in 2015. We employ a global macro trading strategy that seeks to capture investment opportunities across commodity, foreign exchange, fixed income, equity, and derivatives markets. With offices in the United States and Europe, Massar prides itself on its dynamic, entrepreneurial culture. Our investment philosophy combines fundamental understanding of individual assets with a quantitative, data-driven process. We build proprietary technology and develop statistical methods to leverage both public and in-house data sets. Our team members possess strong technical skills, a passion for problem-solving, and an intellectual curiosity about financial markets.

The data team delivers infrastructure and models to deploy valuable data across the business. Working closely with our researchers and traders, we build resilient and easily maintainable data models and pipelines. Additionally, our developers support live trading by maintaining pipeline operations and enhance our data platform by developing new frameworks, libraries, and services, thereby enhancing team efficiency, throughput, and code quality.

Responsibilities
  • Gain a comprehensive understanding of investment research teams' data needs and provide the right solution to them
  • Develop, test, and optimize Python data applications, frameworks, and services
  • Collaborate with technologists and researchers to align data applications and platforms with evolving business needs
  • Write and review technical documentation, including requirements for researchers and proposals for platform enhancements, as well as production support guidelines
  • Frequently take the lead on production support operations
Requirements
  • Bachelor's in a technology related field (e.g. Engineering, Computer Science, etc.)
  • Strong skills programming in Python (inc. Numpy & Pandas) as well as significant experience with SQL, as a software developer, quantitative developer or data engineer
  • Exposure to Relational database engineering or NoSQL database
  • Experience with any of the following systems is a plus: Apache Airflow, Docker, Kubernetes
  • Strong design, debugging and problem-solving skills
  • Strong analytic and strategic thinking skills
  • Strong communication skills
Nice To Have
  • Experience at either a hedge fund or for a trading group on the buy-side
  • Experience with any of the following systems is a plus: Apache Airflow, Docker, Kubernetes
Compensation
  • Competitive compensation commensurate with level of experience.
  • Comprehensive benefits package including medical, dental, vision, 401(k), insurance, Summer Fridays, and wellness reimbursement.
  • Base Salary: $150,000 - $200,000/ yr plus bonus

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