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Remote Python Jobs in Antioch, CA (NOW HIRING)

Landpoint

Remote Data Analyst

Fremont, CA · Remote

Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently ... Remote data analysts must be able to clearly and concisely communicate their findings and ...

Ross Stores, Inc

Engineer II

Dublin, CA · On-site +1

$113K - $195K/yr

It involves developing and maintaining Python-based data processing solutions to support scalable ... This position may be performed remotely anywhere within the United States. #LI-Remote SUPERVISORY ...

Ross Stores, Inc

Analyst, IT Applications

Dublin, CA · Remote

$81K - $136K/yr

Write and support Python scripts for basic data processing, integration, and validation tasks ... This position may be performed remotely anywhere within the United States. #LI-Remote SUPERVISORY ...

Nextracker

Forward Deployed Engineer (AI)

Fremont, CA · On-site +1

Forward Deployed Engineer (AI) Onsite - Fremont, California This position is required to be onsite in Fremont, California, and remote work arrangements are not being considered for this role.

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve, accelerate, and automate asset inspections processes Strong Python programing Department Overview The Data ...

Five9

Senior Cloud Infrastructure Engineer

San Ramon, CA · On-site +1

$121K - $164K/yr

Develop Infrastructure-as-Code using Ansible, Terraform or Pulumi, with Python/Bash automation ... This role is fully remote for candidates who reside outside the 30 mile radius of one of our ...

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Remote Python information

See Antioch, CA salary details

$15

$66

$98

How much do remote python jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote python in Antioch, CA is $66.65, according to ZipRecruiter salary data. Most workers in this role earn between $54.95 and $75.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote python developer?

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.

Which remote Python job is in demand?

Remote Python developer roles are highly in demand across industries such as technology, finance, and healthcare. Skills in frameworks like Django or Flask, along with experience in cloud platforms and version control, enhance job prospects. These positions often require strong problem-solving abilities and remote collaboration skills.

What is a remote python job?

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 the most commonly searched types of Python jobs in Antioch, CA?

The most popular types of Python jobs in Antioch, CA are:

What are popular job titles related to Remote Python jobs in Antioch, CA?

For Remote Python jobs in Antioch, CA, the most frequently searched job titles are:

What cities near Antioch, CA are hiring for Remote Python jobs?

Cities near Antioch, CA with the most Remote Python job openings:

Remote Python jobs near you
Infographic showing various Remote Python job openings in Antioch, CA as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $138,634 per year, or $66.7 per hour.

Remote Data Analyst

Landpoint

Fremont, CA • Remote

Full-time

Re-posted 18 days ago

Job description

What is data analyst ?

A data analyst is a professional who collects, cleans, and analyzes data to answer questions or solve problems. They work in many industries, including business, finance, science, medicine, and government

To excel as a remote data analyst, professionals must possess a combination of technical skills, soft skills, and industry-specific expertise. These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth.

Skills;

Analytical and problem-solving skills

Knowledge of statistics and mathematics

Experience with spreadsheets

Experience with statistical languages

Experience with scripting languages

Knowledge of database management systems

Data visualization skills

Data Analyst Job Description: Key Responsibilities

Remote data analysts play a crucial role in driving business growth and decision-making by transforming raw data into actionable insights. Their key responsibilities include:

Collecting and interpreting data from various sources: Data analysts are responsible for gathering data from multiple sources, such as databases, APIs, and spreadsheets. They then interpret this data, identifying patterns and trends that can provide valuable insights for the business.

Analyzing data to identify trends and patterns: Once the data has been collected and interpreted, data analysts use various statistical methods and tools to analyze it. By identifying trends and patterns, they can provide insights that help businesses make data-driven decisions.

Creating reports and visualizations to present findings: Data analysts use data visualization tools like Tableau and Power BI to create clear and engaging reports that effectively communicate their findings to stakeholders. These visualizations help businesses understand complex data and make informed decisions.

Collaborating with cross-functional teams to support business objectives: Data analysts work closely with various teams within the organization, such as marketing, sales, and product development. By collaborating with these teams, they can provide data-driven insights that help support the company's overall business objectives.

Ensuring data accuracy and compliance with relevant regulations: Data analysts must ensure that the data they collect and analyze is accurate and reliable. They must also comply with any relevant regulations, such as data privacy laws, to protect the organization from potential legal issues.

Technical Skills

Data manipulation and analysis tools: Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently collect, clean, and analyze data from various sources.

Data visualization tools: Mastery of visualization tools such as Tableau and Power BI helps analysts create impactful visual representations of their findings, making it easier for stakeholders to understand complex data.

Knowledge of statistical methods and machine learning algorithms: A deep understanding of statistical methods and machine learning algorithms allows data analysts to identify trends and patterns, providing valuable insights for decision-making.

Soft Skills

Effective communication and collaboration: Remote data analysts must be able to clearly and concisely communicate their findings and collaborate with cross-functional teams to support business objectives.

Attention to detail and problem-solving abilities: A keen eye for detail and strong problem-solving skills are essential for identifying data anomalies and ensuring data accuracy.

Time management and organization: Remote work requires excellent time management and organizational skills to stay on track and meet deadlines.

Adaptability and self-learning capabilities: As technology and industry trends evolve, remote data analysts must be adaptable and committed to continuous learning to stay ahead of the curve.

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