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Python Developer Remote Jobs in Long Beach, NY (NOW HIRING)

Radish Lab

Lead Full Stack Developer [Remote]

Brooklyn, NY · Remote

$40K - $65K/yr

... Python, Perl, etc. * 2 years of frontend development, using HTML, CSS/SASS, JavaScript and modern ... light DevOps operations, such as code deployments and build script configurations. * Work with ...

Optimize Partners

Senior AEM Developer (Remote)

New York, NY · Remote

$59.50 - $78.75/hr

Be part of a world class engineering team, and apply today! This is a full-time, fully remote position. Responsibilities of the Sr. AEM Developer: * Building and ensuring the stability of cross ...

Turnblock.io

Go Developer Remote USA (Fintech)

New York, NY · Remote

$100K - $200K/yr

Experienced Software Engineer Our client is on crypto's cutting edge technology, and we're looking for the right engineers to join them. This is a remote position for any US candidate. No blockchain ...

Turnblock.io

Go Developer Remote US (Fintech)

New York, NY · Remote

$100K - $200K/yr

Experienced Software Engineer Our client is on crypto's cutting edge technology, and we're looking for the right engineers to join them. This is a remote position for any US candidate. No blockchain ...

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All JobsPython Developer Remote JobsPython Developer Remote Jobs in Long Beach, NY

Python Developer Remote information

See Long Beach, NY salary details

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How much do python developer remote jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for python developer remote in Long Beach, NY is $60.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.86 and $68.75 per hour, depending on experience, location, and employer.

What does a remote Python developer do?

A remote Python developer designs, builds, and maintains software applications using the Python programming language, working from a location outside of a traditional office environment. Their responsibilities often include writing clean and efficient code, debugging and troubleshooting issues, collaborating with team members through online tools, and integrating third-party services or APIs. Remote Python developers may work on web applications, data analysis, automation scripts, or back-end systems, depending on the employer's needs. They must also manage their time effectively and communicate clearly to succeed in a distributed team setting.

What are some common challenges faced by remote Python Developers, and how can they be addressed?

Remote Python Developers often face challenges related to communication, collaboration, and staying aligned with team goals due to physical distance. To address these issues, it's important to establish clear communication channels, actively participate in daily stand-ups or sync meetings, and utilize project management tools. Regular code reviews and pair programming sessions can also help maintain code quality and foster teamwork. Additionally, setting up a dedicated and distraction-free workspace at home can significantly boost productivity.

What are the key skills and qualifications needed to thrive as a Python Developer (Remote), and why are they important?

To thrive as a Python Developer in a remote role, you need strong programming skills in Python, a solid understanding of software development principles, and typically a degree in computer science or related experience. Familiarity with version control systems like Git, frameworks such as Django or Flask, and cloud platforms (e.g., AWS or Azure) is commonly required. Excellent problem-solving abilities, self-motivation, and clear written communication help remote Python developers excel in distributed teams. These skills ensure efficient code delivery, robust collaboration, and the ability to independently tackle complex projects from anywhere.

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

AspectPython Developer RemoteData Analyst Remote
Required SkillsPython, programming, software developmentData analysis, SQL, Excel, visualization
Work EnvironmentRemote, tech companies, software firmsRemote, finance, marketing, consulting
Common CertificationsPython certifications, coding bootcampsData analysis certifications, Excel, SQL

Python Developer Remote and Data Analyst Remote roles often share a remote work environment and require technical skills. However, Python Developers focus on coding and software development, while Data Analysts specialize in analyzing data and generating insights. Both roles are in high demand across various industries and often require similar certifications, making them popular choices for remote tech careers.

What Are Remote Python Developer Jobs?

Remote Python developer positions design, code, and troubleshoot software and applications using the Python programming language. Instead of working in the office, remote Python developers work from home or another location outside of the office with internet connectivity. Remote Python developers often work on server-side projects related to databases, web servers, and big data manipulation. Your responsibilities include coding specific software functions, testing the format, and debugging issues. Depending on the project, you may start from scratch and build a brand new application, add features to the company's current software, or streamline existing code within the applications used throughout the company. Remote Python developers may work on the staff of an organization or be independent contractors with many different clients.

More about Python Developer Remote jobs
What cities near Long Beach, NY are hiring for Python Developer Remote jobs? Cities near Long Beach, NY with the most Python Developer Remote job openings:
Python Developer Remote jobs near you

Data Engineer (Python / Power BI / Cloud) (Remote)

TSG Risk Management

New York, NY • Remote

$80K - $100K/yr

Full-time

Posted 27 days ago

Job description

Location Requirement

This is a hybrid position based in New York City, with an expectation of 4 days per week in the office 1 day remote. Candidates must be local to the NYC area or open to relocation.

Position Overview

We are seeking a well-rounded Data Engineer to design, build, and support scalable data pipelines, analytics solutions, and reporting tools. This role sits at the intersection of data engineering, analytics, and stakeholder collaboration, and will play a key role in delivering high-quality, data-driven insights across the organization.

The ideal candidate is hands-on with Python, SQL, and ETL development, while also being comfortable building Power BI dashboards and partnering with cross-functional teams in an Agile environment.

Key Responsibilities
  • Design, develop, and maintain secure and scalable data pipelines and ETL processes
  • Build and optimize data models to support analytics and reporting use cases
  • Develop Power BI dashboards and reports to deliver actionable insights
  • Collaborate with cross-functional stakeholders to gather requirements and translate them into technical solutions
  • Participate in Agile ceremonies and project meetings, ensuring alignment on deliverables, timelines, and quality standards
  • Implement data quality controls and ensure accuracy, consistency, and reliability of data outputs
  • Develop and maintain Python scripts for data extraction, transformation, and automation
  • Support metric development and reporting automation initiatives
  • Contribute to infrastructure-related activities, including deployments and environment support
  • Create and maintain technical documentation (e.g., Confluence)
  • Provide regular updates on progress, risks, and dependencies to stakeholders
Required Qualifications
  • 46+ years of experience in data engineering or related field
  • Strong experience with Python and SQL
  • Hands-on experience building and maintaining ETL/data pipelines
  • Experience with data modeling and working with structured datasets
  • Experience with Power BI (dashboard development and reporting)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience working in Agile environments with cross-functional teams
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills with the ability to work with both technical and non-technical stakeholders
Preferred Qualifications
  • Experience with data automation and metric standardization
  • Exposure to infrastructure deployments or DevOps practices
  • Experience with Confluence or similar documentation tools
  • Prior experience supporting enterprise reporting or analytics initiatives