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Python Data Jobs in Portland, OR (NOW HIRING)

campus4tech

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Databricks AWS Apache Spark Python PySpark Previous Clients experience a plus. Any ETWs let go at the end of 05/31 can be considered since a 90 day break would be fulfilled. Skills Data engineer ...

Hp

Big Data Laser Analyst

Vancouver, WA · On-site

Big Data Laser Analyst Description - Job Summary We are seeking a highly analytical, business ... Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge ...

Ohm Systems, Inc

Be Seen First

Sr. Data Engineer

Beaverton, OR · On-site

$70 - $75/hr

... data-related role * Prior Nike experience required Top must-have skills include the following ... Spark * Python * Snowflake * SQL * Experience with AI tools and initiatives * Excellent ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

Fluent with Python scripting. * Optimize performance and cost efficiency across large-scale distributed data systems * Monitor, troubleshoot, and optimize existing pipelines and infrastructure to ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Fluent with Python scripting. * Optimize performance and cost efficiency across large-scale distributed data systems * Monitor, troubleshoot, and optimize existing pipelines and infrastructure to ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Fluent with Python scripting. * Optimize performance and cost efficiency across large-scale distributed data systems * Monitor, troubleshoot, and optimize existing pipelines and infrastructure to ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Fluent with Python scripting. * Optimize performance and cost efficiency across large-scale distributed data systems * Monitor, troubleshoot, and optimize existing pipelines and infrastructure to ...

MDAEdge

Data Visualization Engineer

Beaverton, OR · On-site

$120K - $145K/yr

Required : • Minimum 5-6 years of experience • Strong background in data and visualization engineering • Proficiency in Python for coding and data integration • Expertise in SQL for querying ...

SupportFinity™

Data Scientist 4

Tualatin, OR · On-site

$120 - $180/hr

The impact you'll make Lam Research is looking for a Performance Data Scientist in Lam's Global ... Proficiency in Python, R, MATLAB, or similar programming environments. * Knowledge of Lean Six ...

New

campus4tech

Data Visualization Engineer 4

Beaverton, OR · On-site

$119K - $143K/yr

Job Title- Data Visualization Engineer 4 Reporting Type- Beaverton, OR 97005 Work Timing- Monday to ... Python) - SQL experience - Power BI experience Necessary soft skills: - Ability to work ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · On-site

$90 - $96/hr

Demonstrated knowledge of computer languages including, but not limited to Python, Java, SQL, and R ... large data sets. Skill in discerning the strengths and weaknesses of various best-practice ...

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Showing results 41-60

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.

Data Engineer

campus4tech

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Re-posted 20 days ago

Job description

Job Title- Data Engineer 5
Location- Beaverton, OR, United States, 97005
Reporting Type- Onsite
Duration: 9+ Months
Summary
GT Title: Data Engineer
Requirements
Typically requires a Bachelors Degree and minimum of 10 years directly relevant experience; experience should include comprehensive experience as a business/process leader or industry expert Note: One of the following alternatives may be accepted: - PhD or Law + 8 yrs; Masters + 9 yrs; Associates degree + 11 yrs; High School + 12 yrs.
Comments for Suppliers: Must be onsite at Client HQ in Beaverton for Hybrid schedule, 4:1.
Data engineers build and maintain systems that collect, manage, and transform data into usable information. They work with large amounts of data from various sources, and ensure that data is accessible and flows smoothly to its destination.
Must have 4-6 years of experience with:
Databricks
AWS
Apache Spark
Python
PySpark
Previous Clients experience a plus. Any ETWs let go at the end of 05/31 can be considered since a 90 day break would be fulfilled.
Skills
Data engineer
Responsibilities
Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Documents and communicates database design. Evaluates and installs database management systems. Codes complex programs and derives logical processes on technical platforms. Builds windows, screens and reports. Assists in the design of user interface and business application prototypes. Participates in quality assurance and develops test application code in client server environments. Provides expertise in devising, negotiating and defending the tables and fields provided in the database. Adapts business requirements, developed by modeling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application. At more experienced levels, helps to develop an understanding of client's original data and storage mechanisms. Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables for a relational model.

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