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Python Data Jobs in Oregon (NOW HIRING)

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

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 ...

Cotiviti

Principal Backend Engineer AI (Python)

$217K - $258K/yr

Design and develop Python/Java SDKs that provide intuitive interfaces for teams to interact with ... Understand how an agentic solution works and create efficient data access layers and database ...

AcuityMD

OR

$122K - $161K/yr

You are fluent in Python's data and ML stack and opinionated about your preferred approaches, techniques, or model implementations Nice to Haves * Experience with healthcare datasets, such as medical ...

TestingXperts

Big Data Architect

Hillsboro, OR

$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 ...

Futran Tech Solutions Pvt. Ltd.

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

... SQL, Python and Spark that meet all functional & non-functional requirements • Develop efficient feature capabilities to support proper data extraction & curation for analytical purposes • ...

Stillfront

Data Scientist

Myrtle Point, OR

Build tools (e.g., Python scripts, dashboards) to automate creative testing, real-time budget/bid ... Data Quality: Maintain reliable data pipelines, ensure accuracy across teams, and proactively ...

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All JobsPython Data JobsPython Data Jobs in Oregon

Python Data information

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How much do python data jobs pay per hour?

As of Jun 25, 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 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 Oregon? For Python Data jobs in Oregon, the most frequently searched job titles are:
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:
Python Data jobs near you
Infographic showing various Python Data job openings in Oregon as of June 2026, with employment types broken down into 1% Internship, 70% Full Time, 8% Part Time, 19% Contract, and 2% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $128,917 per year, or $62 per hour.

Data Engineer (Python/AWS)

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Posted 5 days ago

Job description


REQUIREMENTS:
• Ability to design, develop, configure, and implement complex solutions and code in Web technologies like NodeJS
• Ability to design, develop, configure, test, and implement complex solutions and code in an AWS environment uses API's, Lambda, Docker, and similar technologies
• Diverse experience in deployments/developments in the public cloud infrastructure (AWS preferred: EC2, RDS, DynamoDB, S3, SQS, SNS)
• Experience working with CI/CD tools and automating full stack builds and deployments.
• Ability to conduct performance monitoring, tuning, and analyze performance against benchmarks.
• Experience, interest, and adaptability to working in an Agile delivery environment
• Exceptional multi-tasking, collaboration, listening, written and verbal communication skills
Skill Set
react, node, rest, api, aws

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