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

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

Gain America

Entry Level Python Developer

Hicksville, NY · On-site

$55K/yr

Required Skills Python Required Experience We are looking for excellent aptitude towards python and data engineering to help us create dynamic software applications for our clients. In this role, you ...

Fubo

Software Engineer, Data Engineering

New York, NY · Hybrid

$190K/yr

Scala, Go, Python * Data Processing Framework: Apache Beam, Scio * Streaming: Apache Kafka, Google ... engineering or backend software engineering role * Experience developing data pipelines or ...

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 ... engineering or backend software engineering role * Experience developing data pipelines or ...

Polar IT Services

AWS Python Developer with Pyspark

Newark, NJ · On-site +1

$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 ...

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 ...

Neara

Staff Python Engineer

Manhattan, NY · On-site

$180 - $230/hr

Partner cross-functionally with fullstack, data, DevOps, and AI engineers, as well as product and ... Expert-level Python, with hands‑on experience developing test suites and working with CI/CD ...

New

Polarits

AWS Python Developer with Pyspark

Newark, NJ · On-site

$140 - $180/hr

Python Developer with AWS & Pyspark (It's backfill Role) Location: New Jersey Mode of work: Hybrid ... The ideal candidate will have hands-on experience developing scalable data pipelines, processing ...

Syntricate Technologies

Junior Big Data Engineer

Iselin, NJ · On-site

$56.50 - $75/hr

Required : • 3+ years of total experience, primarily as a Big Data Developer • Experience with Big Data platforms/tools (Linux, HDFS, Hive, Hortonworks, Spark, Scala, Python, Java, Kafka, etc ...

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

Python Data Developer information

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How much do python data developer jobs pay per hour?

As of Sep 7, 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 is a Python data developer?

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 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 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Data Engineer Python, React, Databricks & Azure

SANS

Manhattan, NY • On-site

Other

Posted 25 days ago

Key responsibilities

  • Design, develop, and maintain Python-based ETL/ELT pipelines for enterprise data ingestion, transformation, validation, and storage.

  • Build and optimize Databricks notebooks, workflows, Delta Tables, and data transformation pipelines using Python and PySpark.

  • Develop and support data workflows for GenAI portals and applications, ensuring reliable data ingestion, processing, and storage.

Job description

Job Title Data Engineer Python, React, Databricks & Azure Location Hybrid (New York, NY / Edison, NJ) Duration 12+ Months
Job Overview: We are seeking an experienced Data Engineer with strong hands-on expertise in React JS, Core Python, Azure, Databricks, and Delta Lake to design, develop, and support scalable data engineering solutions. The ideal candidate will build Python-based ETL pipelines, develop data workflows for GenAI applications, implement data quality frameworks, and collaborate with cross-functional teams to deliver reliable data platforms.
Key Responsibilities

  • Design, develop, and maintain Python-based ETL/ELT pipelines for enterprise data ingestion, transformation, validation, and storage.
  • Develop cloud-native data solutions using Azure Function Apps, Azure Blob Storage, Azure Cosmos DB, Azure Databricks, and Delta Lake.
  • Build and optimize Databricks notebooks, workflows, Delta Tables, and data transformation pipelines using Python and PySpark.
  • Develop reusable Core Python modules, libraries, utilities, and automation frameworks for data engineering processes.
  • Build data workflows supporting GenAI portals and applications, ensuring reliable ingestion, processing, storage, and availability of data.
  • Develop and maintain data pipelines integrating structured and semi-structured data from multiple sources.
  • Implement automated data validation, reconciliation, completeness, and quality checks to identify missing, duplicate, or incomplete records.
  • Optimize Databricks and Python workloads for performance, scalability, reliability, and cost efficiency.
  • Work with React to support data-driven portal components, dashboards, data visualization, and integration with backend APIs.
  • Develop and integrate REST APIs and backend services to expose processed data to React-based applications.
  • Implement monitoring, logging, error handling, alerting, and recovery mechanisms across data pipelines.
  • Provide production support, including incident triage, root cause analysis, troubleshooting, problem management, and SLA adherence.
  • Collaborate with business stakeholders, vendors, developers, QA teams, and application teams to understand requirements and deliver enhancements.
  • Participate in code reviews, technical design discussions, testing, deployment, and release activities.
  • Maintain technical documentation for data pipelines, architecture, data flows, operational procedures, and support processes.

Required Skills & Qualifications

  • Strong hands-on experience with Core Python and Python-based data engineering.
  • Experience with Azure cloud services, particularly:
  • Strong experience with Databricks, PySpark, Delta Lake, and Delta Tables.
  • Experience designing and maintaining ETL/ELT pipelines and data workflows.
  • Hands-on experience implementing data quality and validation frameworks.
  • Experience with React.js and integrating React applications with backend APIs/data services.
  • Strong understanding of REST APIs, JSON, API integration, and microservices-based architectures.
  • Experience with Git-based source control and CI/CD processes.
  • Strong SQL skills and experience working with relational and NoSQL data sources.
  • Experience with application monitoring, production support, incident management, and troubleshooting.
  • Strong communication and collaboration skills with technical and non-technical stakeholders.

Preferred Skills

  • Experience supporting GenAI/AI platforms or data portals.
  • Knowledge of Azure DevOps and CI/CD pipelines.
  • Experience with Azure API Management.
  • Knowledge of data lakehouse architecture and Medallion Architecture.
  • Experience with Agile/Scrum development methodologies.
  • Familiarity with observability, logging, and cloud monitoring tools.

Thanks and regards,

Amit Lakhotia

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