Python Job Salaries

Find salary information for remote positions requiring Python skills. Make data-driven decisions about your career path.

Python

Median high-range salary for jobs requiring Python:

$198,848.15

This analysis is based on salary ranges collected from 1100 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $148,385 - $198,848.15

25% of job descriptions advertised a maximum salary above $231,850.
5% of job descriptions advertised a maximum salary above $300,000.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Machine Learning, Communication Skills and Kubernetes. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

Machine Learning
32% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $160,000 - $219,487.67
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $325,500.
Communication Skills
23% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $150,000 - $204,690
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $303,900.
Kubernetes
27% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $155,300 - $204,220.33
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $306,600.
Cloud Computing
20% jobs mention Cloud Computing as a required skill. The Median Salary Range for these jobs is $153,000 - $201,000
- 25% of job descriptions advertised a maximum salary above $245,000.
- 5% of job descriptions advertised a maximum salary above $310,000.
AWS
44% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $154,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $235,900.
- 5% of job descriptions advertised a maximum salary above $300,000.
CI/CD
28% jobs mention CI/CD as a required skill. The Median Salary Range for these jobs is $147,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $232,000.
- 5% of job descriptions advertised a maximum salary above $294,062.5.
Docker
20% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $155,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $235,750.
- 5% of job descriptions advertised a maximum salary above $300,000.
Data Analysis
24% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $144,000 - $199,000
- 25% of job descriptions advertised a maximum salary above $235,000.
- 5% of job descriptions advertised a maximum salary above $316,750.
SQL
49% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $143,377.4 - $190,000
- 25% of job descriptions advertised a maximum salary above $225,375.
- 5% of job descriptions advertised a maximum salary above $300,000.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Fintech, Software Development and Artificial Intelligence. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Fintech
4% jobs are in Fintech industry. The Median Salary Range for these jobs is $169,000 - $211,000
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $322,000.
Software Development
27% jobs are in Software Development industry. The Median Salary Range for these jobs is $151,333.33 - $200,000
- 25% of job descriptions advertised a maximum salary above $243,050.
- 5% of job descriptions advertised a maximum salary above $310,000.
Artificial Intelligence
2% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $150,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $435,250.
Healthcare technology
1% jobs are in Healthcare technology industry. The Median Salary Range for these jobs is $175,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $230,000.
- 5% of job descriptions advertised a maximum salary above $258,500.
Legal Services
1% jobs are in Legal Services industry. The Median Salary Range for these jobs is $135,000 - $199,000
- 25% of job descriptions advertised a maximum salary above $227,000.
- 5% of job descriptions advertised a maximum salary above $229,550.
Mental Health
1% jobs are in Mental Health industry. The Median Salary Range for these jobs is $157,500 - $193,550
- 25% of job descriptions advertised a maximum salary above $200,000.
- 5% of job descriptions advertised a maximum salary above $291,500.
Financial Services
1% jobs are in Financial Services industry. The Median Salary Range for these jobs is $124,500 - $190,000
- 25% of job descriptions advertised a maximum salary above $227,700.
- 5% of job descriptions advertised a maximum salary above $272,800.
Healthcare
4% jobs are in Healthcare industry. The Median Salary Range for these jobs is $150,000 - $187,500
- 25% of job descriptions advertised a maximum salary above $214,000.
- 5% of job descriptions advertised a maximum salary above $251,200.
Cybersecurity
4% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $135,000 - $180,000
- 25% of job descriptions advertised a maximum salary above $213,750.
- 5% of job descriptions advertised a maximum salary above $265,500.
Healthcare Technology
1% jobs are in Healthcare Technology industry. The Median Salary Range for these jobs is $130,000 - $170,000
- 25% of job descriptions advertised a maximum salary above $210,000.
- 5% of job descriptions advertised a maximum salary above $229,200.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Lead Machine Learning Engineer, Infrastructure

Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 175500.0 - 277500.0 USD per year

🔍 Software Development

🔧 Requirements

Passion for ML Infrastructure: We value enthusiasm for advancing ML infrastructure.
Proven Impact: Show us your track record of delivering impactful solutions.
Innovative Thinker: Bring creativity and fresh ideas to the table.
Technical Proficiency: Solid foundation in software engineering and ML concepts.
Collaborative Mindset: Strong communication and teamwork skills are a must.
Continuous Learner: Stay updated with the latest advancements in the field.
Problem-Solving Skills: Ability to tackle complex problems effectively.
Adaptability: Thrive in a fast-paced, dynamic environment.

💡 Responsibilities

Design, implement, and optimize distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving.
Develop and maintain frameworks, libraries, and tools to streamline the end-to-end machine learning lifecycle, from data preparation and experimentation to model deployment and monitoring.
Architect and implement highly available, fault-tolerant, and secure systems that meet the performance and scalability requirements of production machine learning workloads.
Collaborate with machine learning researchers and data scientists to understand their requirements and translate them into scalable and efficient software solutions.
Stay current with the latest advancements in machine learning infrastructure, distributed computing, and cloud technologies, and integrate them into our platform to drive innovation.
Mentor junior engineers, conduct code reviews, and uphold engineering best practices to ensure the delivery of high-quality software solutions.

AWS Docker Leadership Python Software Development SQL Cloud Computing Kubernetes Machine Learning Algorithms API testing Data engineering Data science Data Structures Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Mentoring Adaptability Software Engineering

Posted about 1 hour ago

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🔥 Data Engineer

Posted about 2 hours ago

📍 United States

🧭 Full-Time

💸 135000.0 - 150000.0 USD per year

🔍 Fintech

🔧 Requirements

3+ years of experience as a Data Engineer
3+ years of using Apache Airflow in a production setting.
Expert in Python and SQL
Hands-on experience with cloud platforms such as Google Cloud (GCP) or AWS.
Familiarity with our modern data stack: Snowflake, Airflow, Apache Beam, DBT, Looker, Secoda, Fivetran, hightouch
BS in Computer Science or equivalent program

💡 Responsibilities

Develop, maintain, and optimize data pipelines to support analytics, reporting, and business intelligence needs.
Design and implement data integrations across multiple backend business systems, ensuring efficient and reliable data flows.
Work on streaming data processing using frameworks like Apache Beam to handle real-time data ingestion and transformation.
Build and maintain APIs to enable seamless data access and sharing across internal teams and platforms.
Manage orchestration and automation of workflows using Airflow on Kubernetes.
Ensure data quality, security, and compliance by implementing best practices for monitoring, testing, and governance.
Collaborate with analytics and engineering teams to optimize data models and improve system performance.

AWS Python SQL Apache Airflow ETL GCP Kubernetes Snowflake API testing Data engineering Data modeling

Posted about 2 hours ago

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🔥 800 - Process Lead

Posted about 18 hours ago

📍 Latin America

🧭 Part-Time

💸 700.0 - 1000.0 USD per month

🏢 Company: GoFasti👥 10-50

🔧 Requirements

5+ years of experience in process improvement or workflow analysis.
Strong expertise in business process mapping, automation readiness assessment, and operational risk analysis.
Proficiency in Python scripting.
Comfortable working with AI-related tasks.
Ability to identify AI and automation opportunities that align with business value and compliance requirements, including reading regulations, refining prompts, and categorizing outputs to develop AI policies.
Familiarity with financial services regulations and risk management.
Experience with analytics or data governance to enhance business analysis is essential.
Strong analytical skills with the ability to connect business actions to potential analytics improvements.
Excellent communication and documentation skills, particularly in presenting process optimization opportunities.

💡 Responsibilities

Develop process maps that highlight high-stakes operational workflows, identifying areas where AI and automation can enhance efficiency and compliance.
Support the AI Policy Lead in facilitating stakeholder discussions by asking insightful questions that connect business actions to AI-driven opportunities.
Identify key business capabilities and processes that will benefit most from AI adoption, ensuring that AI policy addresses both current operations and future innovation.
Ensure that AI policy recommendations align with regulatory requirements, mapping compliance considerations to existing and future AI-driven processes.
Provide structured recommendations on AI readiness, process automation, and governance structures, ensuring that policies remain practical and scalable.
Develop risk assessment templates, compliance checklists, and AI implementation guidelines to support policy adoption.
Reading and analyzing materials is a fundamental part of the role.
Aligned with customer requirements, the validation approach is a recognized method for AI testing, with opportunities for further refinement.

Python Artificial Intelligence Business Analysis Data Analysis Compliance Risk Management Process improvement Data modeling Scripting Data management

Posted about 18 hours ago

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🔥 Sr. MLOps Engineer

Posted about 18 hours ago

📍 United States

🧭 Full-Time

💸 160000.0 - 220000.0 USD per year

🔍 Healthcare

🏢 Company: AKASA

🔧 Requirements

5+ years of work experience in software development, data engineering or machine learning.
Significant experience deploying a trained system to production (recommendation, classification or similar features).
Backend web/web services experience with schema design and API implementation focus in a distributed environment.
Strong concurrent/parallel/asynchronous programming skills in Python.
Familiarity with FastAPI, SQLAlchemy, Postgres.

💡 Responsibilities

Partner closely with our product, design, and machine learning teams
Design, build, and maintain shared APIs, tools, services, and applications
Lead and participate in design discussions, planning sessions, and code reviews.
Debug issues and support customers
Mentor junior engineers on the team
Work with team members to shape AKASA’s platform architecture

AWS Backend Development Docker PostgreSQL Python Software Development Git Kubernetes Machine Learning Algorithms API testing Data engineering Data Structures FastAPI REST API Communication Skills Analytical Skills CI/CD Problem Solving Mentoring Linux Microservices Debugging

Posted about 18 hours ago

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🔥 Information Security Analyst II

Posted about 23 hours ago

📍 United States

💸 68356.34 - 109370.37 USD per year

🔍 Information Security

🏢 Company: csgcareers

🔧 Requirements

Experience with various functions within the entire incident response life cycle including security system engineering, alert monitoring, triage, incident analysis (host and network forensics, malware analysis, etc.) and incident management
Experience working with information security technologies, such as IDS/IPS, malware prevention, database activity monitoring, secure password repository, multi-factor authentication, SIEM, SPAM prevention, web content filtering, IdM/IAM, encryption and encryption key management, DLP, change detection, and vulnerability scanners
Knowledge of TCP/IP: must be able to demonstrate technical understanding of all layers of the TCP/IP stack, including familiarity with major application-layer protocols such as HTTP, HTTPS, FTP, SFTP, FTPS, SMTP, DNS, etc.; must be able to read and understand a packet trace; must be able to read and interpret network access control lists
A clear understanding of a variety of network and application attacks: examples include DoS/DDoS, buffer overflows, SQL injection, reconnaissance scanning, and evasive methods attackers use to avoid detection; must be able to demonstrate a minimum level of familiarity with well-known vulnerabilities and exploits
Working knowledge with IT security, compliance, and regulatory requirements, such as Payment Card Industry (PCI) Data Security Standard (DSS), Sarbanes-Oxley (SOX), Health Insurance Portability and Accountability Act (HIPAA), state and Federal privacy laws

💡 Responsibilities

Monitor, respond, and work to resolution alerts from security tools
Participate in the organization's incident response plan and perform incident reporting
Collaborate with team members and assist in developing and implementing SOC IR strategies, along with refining and testing incident response playbooks and procedures
Perform security engineering tasks as required to include alert tuning, system maintenance, determining and capturing key information feeds, etc.
Participate and fulfill requests from audit, compliance, and regulatory functions, including and not limited to Payment Card Industry (PCI) Data Security Standard (DSS), Sarbanes-Oxley (SOX), emerging state and Federal privacy laws, and general security auditing

Python SQL Cybersecurity LDAP Microsoft Exchange Algorithms Data Structures REST API Communication Skills Analytical Skills Linux Written communication Compliance MS Office JSON Scripting

Posted about 23 hours ago

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🔥 Lead Machine Learning Engineer – AI/ML (Remote Work Option)

Posted 1 day ago

📍 United States

💸 119400.0 - 267500.0 USD per year

🔍 Software Development

🔧 Requirements

5+ years of professional experience in software engineering, data engineering, machine learning, or related field
Experience in Python
Hands-on AWS experience
Experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. EMR)
Experience with data structures, data modeling and software architecture
Experience with complex data sets, ETL pipelines, SQL, and general data engineering
Expertise with cloud architecture and technologies, in particular Amazon Web Services
Expertise with technologies like Spark, Kubernetes, Docker, Jenkins, Databricks, Terraform is also highly desirable
Expertise with agile development and test driven development

💡 Responsibilities

Develop robust advanced analytics and machine learning solutions that have a direct impact on the business
Design and implement scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact
Contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development
Provide technical vision and guidance to your teammates
Own projects end-to-end - from conception to operationalization

AWS Docker Leadership PostgreSQL Python SQL Agile ETL Kubernetes Machine Learning Algorithms API testing Data engineering Data Structures Redis Spark Communication Skills CI/CD Terraform Data modeling Software Engineering

Posted 1 day ago

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🔥 Principal Decision Scientist, Client Analytics

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 150000.0 - 170000.0 USD per year

🔍 Software Development

🏢 Company: Ibotta

🔧 Requirements

10-15+ years in Decision Science roles of increasing responsibility & impact
Bachelor’s degree in computer science/mathematics/statistics/data science required
Extensive analytics domain experience in the CPG space
Robust familiarity with industry-standard attribution and measurement models such as MMM and incrementality
Expert-level decision science knowledge, skills, capabilities, etc.
Significant experience creating a compelling client-facing story using data and insights
Expert visual and verbal communicator; an experienced presenter to senior executive levels
Independent, self-starter who can successfully manage one's own time and multitask
Client-facing experience a requirement; consulting background a strong plus
Experience using modern data analysis, pipeline tools and BI Tools ( (e.g., SQL, Python, Git/GitHub, Looker, Tableau etc.)
Expert knowledge of A/B testing best practices
Willingness to travel up to 25% of the time for client meetings and engagements

💡 Responsibilities

Provide proactive, high-impact analytics insights to help Ibotta's most important clients
Work in partnership with high-value client account teams to optimize client success on Ibotta platforms
Own Ibotta’s promotions and media measurement solutions by conceptualizing, designing, and providing external clients industry-leading and market-defensible methodologies that power Ibotta’s measurement solutions; partner cross-functionally to build scalable solutions
Regularly communicate with external clients to understand their business and program goals (especially around incremental revenue), present analytical results, insights and recommendations, and help them determine how Ibotta can be best leveraged to achieve their goals
Research industry trends and standards to stay abreast of new developments; position Ibotta as a thought leader by combining your expertise with our incredible data asset to strategically deliver favorable marketing outcomes for advertisers
Drive internal projects forward through planning, executing, and completing projects within an agreed upon timeline
Uncover inefficiencies and bring forward analytics solutions to scale the business and better leverage our high-potential data asset
Mentor junior colleagues of the Client Analytics team

Python SQL Data Analysis Git Machine Learning Tableau Data science REST API Communication Skills Analytical Skills Mentoring Presentation skills Client relationship management Data visualization Data modeling Data analytics A/B testing

Posted 1 day ago

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🔥 Senior Backend Engineer

Posted 1 day ago

📍 Americas

🧭 Full-Time

💸 180000.0 - 230000.0 USD per year

🔍 Software Development

🏢 Company: Monte Carlo

🔧 Requirements

5+ years of experience delivering production-grade backend code, performing code reviews, and working on cloud, data, and web applications
You have strong Python skills (we use Django) or mastery of similar backend technologies in a large, complex codebase
You test your work (with automation) and follow traffic as customers use your features
You tech-lead critical projects or initiatives within your team and organization
Serverless applications, especially with AWS and Lambda
Data-driven applications, with tools such as PySpark
The needs of data engineers and analytics teams, such as with Snowflake, Databricks, Airflow, dbt, or many similar tools (our customers)
Observability - a love of software APMs, debugging tools, and uptime metrics
You collaborate with your team in a remote-first environment
You get your urgency from user feedback and product vision
You're pragmatic and biased towards action; you're able to see the bigger picture and reason about prioritization and scope

💡 Responsibilities

Building production-grade backend services and APIs to delight customers
Owning major projects from inception to deployment, shipping at a rapid pace
Architecting simple yet flexible solutions, and then scaling them as we grow
Testing, releasing, and operating your code in production
Navigating with some ambiguity while solving problems and pursuing solutions to difficult challenges

AWS Backend Development Python SQL Cloud Computing Data Analysis Django API testing Data engineering REST API Serverless CI/CD Software Engineering Debugging

Posted 1 day ago

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🔥 Senior Software Engineer, Machine Learning

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 142800.0 - 178500.0 USD per year

🔍 Software Development

🏢 Company: Planet👥 501-1000💰 $200,000,000 Post-IPO Equity over 3 years ago🫂 Last layoff 9 months agoGeospatial Remote Sensing Big Data Aerospace Analytics Software

🔧 Requirements

6+ years of relevant experience of which 5+ years of experience is in machine learning
Deep familiarity with time series methods, computer vision, and embeddings; able to implement, train, and optimize neural networks
Experience wrangling large datasets, ideally with geospatial libraries, combined with frameworks like PyTorch/TF for model development and training
Comfortable writing clean, modular Python code and applying software development best practices (Git, testing, CI/CD)
You’ve deployed models (via Docker, Kubernetes, or similar) and understand best practices for monitoring and maintaining them at scale
AWS or GCP experience
Excellent communication skills, capable of explaining technical topics to diverse audiences
Master’s degree in a STEM or analytics-focused field or equivalent work experience

💡 Responsibilities

End-to-end model development & maintenance: Develop new algorithms or methods, implement and test them rigorously, and integrate them into production pipelines. Contribute to their ongoing maintenance and iteratively improve them.
Advancing geospatial analytics: Innovate on computer vision, time series, and other ML techniques to uncover new insights from satellite and aerial data
Cross-functional collaboration: Partner with product managers, data scientists, and engineers to define requirements, validate model outputs, and refine algorithms in iterative cycles
Collaborating with adjacent ML and software engineering teams to ensure seamless integration of ML pre-processing and inference steps, defining best practices for efficient deployment and maintenance of geospatial models

AWS Docker Python Software Development Data Analysis GCP Git Image Processing Kubernetes Machine Learning Numpy PyTorch Algorithms Data Structures REST API Pandas Tensorflow Communication Skills Analytical Skills CI/CD Problem Solving Excellent communication skills JSON Cross-functional collaboration Data modeling Software Engineering

Posted 1 day ago

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🔥 Senior Security Engineer

Posted 1 day ago

📍 Poland

🧭 Full-Time

💸 24000.0 - 28000.0 PLN per month

🔍 Software Development

🏢 Company: Appfire Technologies, LLC.

🔧 Requirements

5+ years of experience working in cyber security engineering and/or architecture at a software company.
Experience performing security work in a multi-cloud environment is preferred.
Experience with at least one vulnerability scanning tool (e.g. Qualys, Rapid7, Wiz, etc.).
Experience as a pen tester for web-based applications and familiarity with the OWASP top ten vulnerability categories.
Working knowledge of at least one scripting language, Python preferred, and Linux concepts/command-line familiarity.
Experience with basic SQL and manipulating large data files preferred.
Understanding of key cryptography concepts such as symmetric/asymmetric keys, algorithms, and protocols (PKI, GPG, RSA, x509 certificates, and TLS/SSL).
Knowledge of common information security frameworks such as CIS, NIST, ISO 27001 & SOC 2 a plus.
Ability to work effectively within a fast-paced, changing environment with high growth.
A self-starter with a demonstrated ability to take initiative, who can proactively identify issues/opportunities and recommend actions.
Strategic analysis, creative problem-solving, and business judgment are required.
Excellent interpersonal and communication skills, including writing skills.

💡 Responsibilities

Collaborate with Engineering, IT Operations, and DevOps to design, engineer, and support security within our cloud environments, products, and vendor solutions, while promoting DevSecOps.
Perform security assessments and penetration testing (manage and perform) on web applications, mobile clients, etc.
Enforce continuous security compliance for our Cloud apps and cloud infrastructure.
Review and approve controls needed to protect data and technology assets in compliance with policies, regulations, and legal requirements.
Support incident response and security operations.
Ensure compliance with and support our vulnerability management program, including SCA, SAST, DAST, penetration testing, and bug bounty programs.
Provide expertise in the integration efforts of Appfire acquisitions and alignment to information security standards and policies.
Implement and maintain information security systems and services to support the Information Security team.

AWS Python SQL Cloud Computing Cybersecurity REST API CI/CD Linux DevOps Compliance JSON Risk Management Scripting Software Engineering

Posted 1 day ago

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Shown 10 out of 1413

Python Job Salaries

Median high-range salary for jobs requiring Python:

Skills and Salary

Machine Learning

Communication Skills

Kubernetes

Cloud Computing

AWS

CI/CD

Docker

Data Analysis

SQL

Industries and Salary

Fintech

Software Development

Artificial Intelligence

Healthcare technology

Legal Services

Mental Health

Financial Services

Healthcare

Cybersecurity

Healthcare Technology

Jobs