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Python Data Jobs in Portland, OR (NOW HIRING)

Sr. Data Engineer

Beaverton, OR · On-site

$40 - $45/hr

Strong programming skills in Python and SQL. * Experience building scalable ETL/ELT pipelines and data engineering solutions. * Hands-on experience with Azure/AWS/GCP, preferably Azure, and ...

Create Python-based solutions for: * Data extraction * Data transformation * Data quality validation * Automation workflows * API integrations * Design and maintain Alteryx workflows for data ...

Lead Data Engineer- Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Strong programming skills in Python and SQL . * Experience building scalable ETL/ELT pipelines and data engineering solutions. * Hands-on experience with Azure/AWS/GCP , preferably Azure, and ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Sr. Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

Experience in data-centric programming languages (e.g., Python or Go) * Experience with Terraform * Experience with participating in projects in a highly collaborative, multi-discipline team ...

Showing results 41-60

Python Data information

See Portland, OR salary details

$14

$62

$91

How much do python data jobs pay per hour?

As of Sep 10, 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:

Infographic showing various Python Data job openings in Portland, OR as of September 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.

Big Data Engineer

Portland, OR • On-site

Avani Technology Solutions, Inc.
IT Services • 201 - 500 employees

$58.75 - $77.50/hr

Contractor

This job post has expired 2 days ago. Applications are no longer accepted.


Job description


  • Excellent scripting skills in one or more (Java Script, Shell, Python etc.)
  • Experience with Git, Subversion or other version control systems
  • Experience with continuous integration and/or continuous delivery
  • Hands on experience with configuration management tools, such as Puppet, Chef or AWS OpsWorks
  • Hands on experience with HDFS, Map Reduce, Presto, Hive, Impala, Spark or similar technologies
  • Ability to build libraries, user defined functions and frameworks on Hadoop eco system, Python and/or Spark
  • Understanding of Hadoop distributions such as EMR
  • Experience with AWS or Cloud
  • Orchestration tools experience like Airflow or similar open source tools
  • Experience with Snowflake cloud data warehouse is a BIG plus