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Remote Python Jobs in Charlotte, NC (NOW HIRING)

Mondo

Sr. Data Engineer

Charlotte, NC · Remote

$65 - $85/hr

Remote (must work CST or EST hours) Start Date: ASAP Duration: Contract-to-Hire, 6 months ... Job Summary • Design, build, test, and implement scalable data pipelines using Python and SQL • ...

INSPYR Solutions

Sr. Data Engineer

Charlotte, NC · Remote

$111.80K - $134.30K/yr

Remote (must work CST or EST hours) with quarterly travel for PI planning Job Summary Our direct ... Extract data from APIs using Python and AWS Lambda and automate workflows with AWS Airflow.

Eliassen Group

AI Consultant II

Charlotte, NC · On-site +1

$70 - $80/hr

The role requires strong communication, design-thinking facilitation, and proficiency in Python, machine learning, and AWS to shape and deliver impactful initiatives. You will collaborate across ...

INSPYR Solutions

Sr. Data Engineer

Charlotte, NC · Remote

$111.80K - $134.30K/yr

Remote (must work CST or EST hours) with quarterly travel for PI planning Job Summary Our direct ... Extract data from APIs using Python and AWS Lambda and automate workflows with AWS Airflow.

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How much do remote python jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote python in Charlotte, NC is $57.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.05 per hour, depending on experience, location, and employer.

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 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.

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.

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 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.

More about Remote Python jobs
What are the most commonly searched types of Python jobs in Charlotte, NC? The most popular types of Python jobs in Charlotte, NC are:
What are popular job titles related to Remote Python jobs in Charlotte, NC? For Remote Python jobs in Charlotte, NC, the most frequently searched job titles are:
What job categories do people searching Remote Python jobs in Charlotte, NC look for? The top searched job categories for Remote Python jobs in Charlotte, NC are:
What cities near Charlotte, NC are hiring for Remote Python jobs? Cities near Charlotte, NC with the most Remote Python job openings:
Remote Python jobs near you
Sr. Data Engineer

Sr. Data Engineer

Mondo

Charlotte, NC • Remote

$65 - $85/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 14 days ago

Job description


Job Title: Sr. Data Engineer
Location-Type: Remote (must work CST or EST hours)
Start Date: ASAP
Duration: Contract-to-Hire, 6 months
Compensation Range: $65-85/ hr W2
Benefits: Eligible for Health, Dental, Vision, and 401K
Visa Sponsorship: Not eligible for visa sponsorship
Job Description:
The client is seeking a hands-on Sr. Data Engineer to design, build, and maintain scalable data ingestion pipelines and optimize a Snowflake-based data warehouse environment supporting procurement and supply chain data operations.
Job Summary
•Design, build, test, and implement scalable data pipelines using Python and SQL
•Maintain and optimize the organization's Snowflake data warehouse, including data ingestion and query performance tuning
•Extract data from APIs using Python and AWS Lambda, and automate workflows using AWS Airflow
•Perform analysis and critical thinking to troubleshoot data-related issues and implement data quality checks and scripts
•Collaborate with data engineers and architects to develop new pipelines and optimize existing ones
•Maintain code via CI/CD processes within an Azure DevOps platform
•Support CDC and batch ingestion processes, including cutover activities to ensure seamless data continuity for downstream business users
Minimum Requirements:
•7 years of experience in Data Engineering with a focus on building and implementing scalable data ingestion pipelines
•Minimum of 10 years advanced proficiency in both Python and SQL, with correct syntax at a senior level
•Minimum of 6 years of hands-on Snowflake experience, including data ingestion, architecture, and query performance optimization
•Experience with AWS services including Lambda, Airflow, Glue, S3, and SNS
•Familiarity with both CDC and batch processing approaches for data replication
•Experience owning data pipelines end-to-end using Fivetran or a comparable data ingestion tool
Preferred Qualifications:
•Experience with DBT for pipeline and data model development
•Background supporting large-scale data migrations, including SQL Server cutover projects
•Experience working within large enterprise environments
•Strong communication skills with the ability to work autonomously, adapt to shifting timelines, and remain receptive to feedback