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Python Data Jobs in Portland, OR (NOW HIRING)

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

Overview As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Financial Data

Python Tutor

Portland, OR · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility

Company Description If you have played the top 100 mobile games in the market, you probably used Rave. We build the platform (SDK + hosted service) used by game publishers to make their mobile games

Company Description If you have played the top 100 mobile games in the market, you probably used Rave. We build the platform (SDK + hosted service) used by game publishers to make their mobile games

SynergisticIT Job Opportunity SynergisticIT is exceptional in skills and technologies enabled candidates. We ensure you get the attention required from tech clients which your resume requires.

Big Data Architect

Hillsboro, OR · On-site

$69.50 - $89.25/hr

Company Description Greetings for the day! My name is Suneetha from Testing Xperts, we are a global staffing, consulting and technology solutions company, offering industry-specific solutions to our

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Python Data information

See Portland, OR salary details

$14

$62

$91

How much do python data jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for python data in Portland, OR is $62.17, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $70.62 per hour, depending on experience, location, and employer.

What is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals skilled in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries, especially with certifications or advanced degrees.

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 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 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.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, NumPy, or frameworks like Django and Flask, and may involve tasks like scripting, data processing, or web development.

Is Python a high paying job?

Python data roles, such as Python developers or data analysts, tend to offer competitive salaries due to the high demand for programming and data skills. Salaries vary based on experience, location, and industry, but Python-related positions generally pay above average compared to many other tech roles.

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 popular job titles related to Python Data jobs in Portland, OR? For Python Data jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Python Data jobs in Portland, OR look for? The top searched job categories for Python Data jobs in Portland, OR are:

Full-time

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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