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Python Data Jobs in Portland, OR (NOW HIRING)

Varsity Tutors

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 ...

Rave

Software Engineer (Python)

Portland, OR · On-site

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 ...

Rave

Software Engineer (Python)

Portland, OR · On-site

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 ...

TestingXperts

Big Data Architect

Hillsboro, OR · On-site

$69.50 - $89.25/hr

Hillsboro, OR Duration: 6+ Months Skills Python, Spark, Map Reduce, Hive, Pig, HBase, Sqoop Hands on experience in Python Spark. At least 2 years Hands on experience in the Big Data ecosystem HDFS ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting edge models. Use latest statistical and coding techniques on structured and un-structured data

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting edge models. Use latest statistical and coding techniques on structured and un-structured data

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting edge models. Use latest statistical and coding techniques on structured and un-structured data

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting edge models. Use latest statistical and coding techniques on structured and un-structured data

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All JobsPython Data JobsPython Data Jobs in Portland, OR

Python Data information

See Portland, OR salary details

$14

$62

$91

How much do python data jobs pay per hour?

As of Aug 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 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 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:

Python Data jobs near you
Infographic showing various Python Data job openings in Portland, OR as of August 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $129,310 per year, or $62.2 per hour.

AWS Python Data Engineer - Contract C2C jobs in Portland, OR

Tech Mirrors

Portland, OR • On-site

$80 - $130/hr

Other

Posted 2 days ago

New

Job description

Role- AWS Python Data Engineer

Location – Portland, OR (California/Oregon/Washington/Nevada)

Mandatory – Python, AWS, Cloud Native

Job Description

Seeking an experienced associate principal with expertise in Python and AWS Services to lead and development of serverless applications leveraging Python AWS Lambda and AWS S3. Architect and implement scalable modernization initiatives for cloud native solutions ensuring optimal performance and cost efficiency. Collaborate applications. Mentor and guide technical teams on Python development and AWS Cloud adoption strategies. Ensure SDKs and automation tools to streamline deployment and operational processes.

Responsibilities
  • Lead end-to-end delivery of cloud native solutions using Python and AWS Lambda.
  • Develop and maintain automation scripts for data ingestion validation and error handling using Python.
  • Establish CI/CD pipelines for Python applications, cloud architecture and deployment standards.
  • Monitor and troubleshoot AWS Lambda functions and S3 integrations.
  • Stay updated with emerging AWS.
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