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Python Data Jobs in Oregon (NOW HIRING)

Python Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Developer

Portland, OR · On-site

$53.25 - $73.50/hr

We are looking for a motivated and enthusiastic Entry-Level Python Developer to join our ... Knowledge of OOP concepts, data structures, and exception handling . * Basic knowledge of SQL and ...

New

Python Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Ability to work with engineering teams using modern software practices (Python, data platforms, cloud-native environments, APIs, ML Ops tooling). * Understanding of production ML systems, deployment ...

Integrate third-party APIs and data sources * Participate in Agile/Scrum ceremonies Qualifications ... Python development * Strong experience with frameworks such as Django, Flask, or FastAPI

Software Engineer L5, Python Platform

OR · On-site +1

$388K - $619K/yr

Python is one of the top three languages used at Netflix, critical to our machine learning, data science, and animation pipeline efforts, among others. The Python Platform team is relatively new to ...

$52.25 - $72/hr

Integration of data storage solutions like databases, key-value stores, blob stores, etc ... python developer. * 5+ years of experience working with relational databases. * 5+ years of ...

The Software Engineer will design backend services, build data and simulation pipelines, contribute to cloud architecture, and carry features from initial requirements through deployment and ...

Experience with Python Experience that will help you hit the ground running with us ... Implementing systems that leverage data stores that scale horizontally and understanding when a ...

Experience with Python Experience that will help you hit the ground running with us ... Implementing systems that leverage data stores that scale horizontally and understanding when a ...

Senior Software Engineer - Integrations - AI/ML

OR · On-site +1

$122K - $161K/yr

Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries * Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP ...

Senior Software Engineer, Python + AI Platform

OR · On-site +1

$121K - $163K/yr

Address customer data handling, tenant isolation, auditability, observability, and secure ... What will you bring? * Strong Python backend engineering. 7+ years professional software ...

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Python Data information

See Oregon salary details

$13

$61

$91

How much do python data jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for python data in Oregon is $61.98, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $70.38 per hour, depending on experience, location, and employer.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

What job categories do people searching Python Data jobs in Oregon look for?

The top searched job categories for Python Data jobs in Oregon are:

What cities in Oregon are hiring for Python Data jobs?

Cities in Oregon with the most Python Data job openings:

Infographic showing various Python Data job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,917 per year, or $62 per hour.

FullStack Developer

Portland, OR • On-site

Texas State Library and Archives Commision
Libraries and Archives • 201 - 500 employees

Full-time

Re-posted 21 days ago


Job description

Frontend: React Redux or any js or typescript based UI skillset
Backend: Node.JS and Python
Data Skills: Extensive data modeling experience in both RDBMS and NoSQL data stores.
Cloud Infrastructure: AWS; Experience designing and setting up AWS VPC, public/private subnets, routing tables, transit gateways, API Gateways, Network & Application Load Balancers, EKS cluster management, ECS services, Lambda, SQS/SNS; Terraform, Jenkins