ZipRecruiter

Log In

1

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

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 ...

Samprasoft

Data Engineer - AWS, Python, SQL

Jersey City, NJ · On-site

$119.50K - $143.50K/yr

Extensive experience in Object Oriented Programming (Java, Scala, Python), data movement technologies (ETL/ELT), Messaging Technologies (ActiveMQ, Kafka), Relational and NoSQL databases (Cassandra ...

Georgia IT Inc

Palantir Sr Data Engineer

Manhattan, NY · Hybrid

$126.20K - $151.60K/yr

EdgeX Foundry, IT infrastructure, IT networking, Palantir Foundry, PySpark, Python, data integration, data management, data processing, edge computing, information technology, programming ...

Omni Inclusive

Data Engineer

Rahway, NJ · On-site

$116.20K - $139.60K/yr

SQL/Python/Data Engineer/AWS Data Engineers who can build scalable, reliable data pipelines and infrastructure, requiring mastery in SQL, Python/Scala, cloud platforms (AWS), and big data ...

JConnect Infotech

Data Engineer

Jersey City, NJ · On-site

$119.50K - $143.50K/yr

Python Data Engineer Design and build horizontally scalable components within the major platform that the team is developing. Review and provide code feedback in terms of best practices with keen eye ...

Verisk

Data Developer - L2

Jersey City, NJ · On-site

$110K - $125K/yr

Experience with at least one data-oriented programming language (e.g., Python, .Net). * Familiarity with ETL/ELT frameworks and modern data architectures. * Exposure to building or consuming APIs and ...

Verisk Analytics

Data Developer - L2

Jersey City, NJ · Hybrid

Experience with at least one data-oriented programming language (e.g., Python, .Net). * Familiarity with ETL/ELT frameworks and modern data architectures. * Exposure to building or consuming APIs and ...

Verisk Analytics

Data Developer - L2

Holmdel, NJ · On-site

Experience with at least one data-oriented programming language (e.g., Python, .Net). * Familiarity with ETL/ELT frameworks and modern data architectures. * Exposure to building or consuming APIs and ...

New

Shaped

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

Data Engineer Shaped is an API for developers to seamlessly add personalized ranking and ... Skills should include Python, Data Warehouses (such as Clickhouse, Snowflake, or BigQuery) * Nice ...

next page

Showing results 1-20

People also search for

All JobsPython Data Developer JobsPython Data Developer Jobs in New York, NY

Python Data Developer information

See New York, NY salary details

$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.

Python Data Integration Developer

SysMind Tech

Manhattan, NY • On-site

$55.25 - $76.25/hr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

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 expertise (Polars preferred, Pandas acceptable).
  • Relational database modeling skills.
  • Familiarity with Geneva's data structures (output layouts, not platform config).
  • AWS (S3, ECS/Fargate, RDS - Postgres).
  • API consumption (GraphQL, REST, JSON).
  • Strong experience deploying Geneva in the Private Credit / Fund space, including multi-layer SPV/Fund structures.
  • Knowledge of Geneva securities.

Nice-to-Haves
  • Working Java knowledge for ORM integration.
  • Experience with Snowflake as a staging area.
  • Knowledge of bitemporal data models.
  • Workflow automation (BPMN tools).

Core Responsibilities
  • Ingest and transform Geneva output data (post-trade, portfolio, accounting) into internal ORM (Postgres + ORM).
  • Develop Python-based data importers for ingestion and transformation.
  • Assist in implementing Java components for ORM integration and bitemporal data model handling.
  • Map Geneva data to internal relational structures, ensuring accuracy and referential integrity.
  • Use GraphQL APIs to deliver data in standardized formats.
  • Collaborate with internal teams to enhance ingestion workflows and support reporting.
  • Document, maintain, and test ingestion processes.
  • Support AWS-hosted infrastructure for data pipelines (ECS/Fargate, S3, RDS).
  • Use Snowflake for temporary staging of rapidly evolving datasets when needed.

Apply