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How much do remote python jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for remote python in Holden, MA is $62.58, according to ZipRecruiter salary data. Most workers in this role earn between $51.59 and $71.06 per hour, depending on experience, location, and employer.

What are Remote Python jobs?

Remote Python jobs are positions where you work primarily with the Python programming language but do so from a location outside of a traditional office, such as your home or another remote location. These jobs can include roles like software developer, data analyst, backend engineer, or machine learning engineer, all of which use Python for building applications, analyzing data, or automating tasks. Remote Python jobs are popular due to Python's versatility and the growing demand for flexible work arrangements in the tech industry.

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

To thrive as a Remote Python Developer, you need strong programming skills in Python, experience with software development life cycles, and a relevant degree or professional experience. Familiarity with tools like Git, Docker, cloud platforms (e.g., AWS), and frameworks such as Django or Flask is typically required, along with knowledge of remote collaboration tools like Slack and Jira. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote team integration and project delivery. These skills ensure efficient, high-quality code development, seamless teamwork, and the ability to meet project goals independently in a remote environment.

What Are Remote Jobs That Use Python?

Remote jobs that use Python focus on coding software and applications to meet the needs or business objectives of your employer. This may involve working with a database, customizing an existing application, or otherwise modifying software based on its expected environment. You can also find a few remote roles that allow you to teach Python instead of using it. Many remote jobs that use Python also involve coding in other common languages as necessary—Python may be the bulk of the work, but the ability to switch to other modes of programming as needed is essential for success in this field. As a remote employee or independent contractor, you may use virtual office software to coordinate with others, upload software into a central database for testing, or work odd hours to meet the needs of your client.

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

AspectRemote PythonRemote Data Analyst
Required SkillsPython programming, scripting, libraries (e.g., Pandas, NumPy)Data analysis, SQL, Excel, visualization tools
CertificationsPython certifications, data science coursesData analysis certifications, SQL certifications
Work EnvironmentRemote, tech companies, startupsRemote, finance, marketing, consulting firms
Industry UsageSoftware development, automation, backend servicesBusiness intelligence, market research, reporting

Remote Python roles focus on coding, automation, and software development using Python, while Remote Data Analysts analyze data sets to generate insights. Both roles often work remotely and require analytical skills, but their core responsibilities and tools differ significantly.

How do Remote Python Developers typically collaborate and communicate with their teams?

Remote Python Developers often work closely with distributed teams using collaboration tools like Slack, Zoom, and GitHub. Clear communication and regular check-ins are essential for syncing on project requirements, code reviews, and troubleshooting. Developers are encouraged to document their code thoroughly and proactively update their progress to ensure smooth workflow across different time zones. This environment fosters independence and strong written communication skills, while also providing opportunities to participate in virtual standups, sprint planning, and peer programming sessions.
More about Remote Python jobs
What are popular job titles related to Remote Python jobs in Holden, MA? For Remote Python jobs in Holden, MA, the most frequently searched job titles are:
What cities near Holden, MA are hiring for Remote Python jobs? Cities near Holden, MA with the most Remote Python job openings:
Remote Python jobs near you

Senior Data Engineer (HYBRID in MA or REMOTE)

thg

Worcester, MA • On-site, Remote

$105K - $143K/yr

Other

Posted yesterday

Job description

Our Claims Analytics team is currently seeking a Senior Data Engineer to join our growing team in our Worcester, MA office, hybrid or remote work arrangement.    

This is a full-time, exempt position. 

POSITION OVERVIEW: 

Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis.  This role primarily will become proficient with all internal & external data produced and consumed by THG.

The engineer will understand where the data is, basic data models and architecture, how to access and obtain data and how to manipulate and work with data to produce output – which may be reports, datasets or self-service reports.

The ideal candidate is a selfmotivated, adaptable, and composed collaborator who learns quickly, thinks with a bigpicture mindset, and leads by example to help set the tone and standards for the team.

IN THIS ROLE, YOU WILL: 

  • Drive larger, more complicated projects independently and ability to handle multiple projects simultaneously.
  • Develop scalable and efficient data models, data structures, and ETL pipelines that support analytics, reporting, and downstream consumption.
  • Consistently prioritize data quality by implementing validation checks, monitoring accuracy and completeness, and clearly documenting data pipelines and processes.
  • Collaborate with business partners and cross-functional teams on data/reporting requests.
  • Be accountable for successful outcomes related to designing, developing, implementing, optimizing, and maintaining data pipelines and solutions.
  • Lead with an ownership mindset to design, implement, and continuously improve data governance, controls, and standards, ensuring the platform is secure, compliant, and scalable.
  • Prioritize work effectively by balancing business impact, technical risk, and domain knowledge to deliver the highestvalue outcomes.
  • Coach and mentor less senior team members, as well as conducting reviews for their work 

WHAT YOU NEED TO APPLY:  

  • Bachelor’s degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent 
  • 8+ years professional experience in data engineering, data architecture, or data analytics
  • Proficiency in the following languages: Advanced SQL, Python, Java, Scala (nice to have).
  • Proficient in building SQL stored procedures, ETL pipelines using Azure Synapse (Synapse Pipelines / Data Factory).
  • Holds active Azure DP-203 (Microsoft Certified: Azure Data Engineer Associate) or equivalent. Other Azure DP certifications or equivalents are also applicable
  • Familiarity in insurance data (Claims data is highly preferred).
  • Data Modeling: Creation of conceptual, logical, and physical data models for data objects, object attributes, and their relationships
  • Analytical Skills: Data Engineers work with large amounts of data that will include facts, figures, and number crunching.  You will need to profile the data and analyze it to find conclusions.
  • Communication Skills: Data engineers are often called to present their findings or translate the data into an understandable document.  You will need to write and speak clearly, easily communicating complex ideas.
  • Critical Thinking: Data engineers must look at the numbers, trends, and data and come to new conclusions based on the findings.
  • Attention to Detail: Data is precise.  Data engineers must make sure they are vigilant in their analysis to come to correct conclusions.
  • Math Skills: Data engineers need advanced math skills to estimate numerical data.  Insurance experience required as well as insurance products.
  • Debugging Skills: Data engineers need the ability to analyze issues with components in our data solutions and come up with remediation plans.
  • Proven experience in data engineering, implementation of best practices for data storage, access, integration, transformation, etc., within Azure
  • Proven experience using Databricks and delta live tables in a data engineering context
  • Experience in optimizing data pipelines to account for scale, performance, reliability, and cost efficiency
  • Demonstrated proficiency in relational, NoSQL, hierarchical, and entity relationship data modeling
  • Experience in creating easy to consume documentation of data processes and solutions to aid in knowledge transfer and continuity.
  • Experienced in agile development methodologies, developing high quality code, and DevOps best practices
  • Must be eligible to work in the United States without requiring sponsorship now or in the future (ie. lawful permanent residence or US citizen)

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