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Python Data Jobs in Portland, OR (NOW HIRING)

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 • ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

... Python; familiarity with Scala, Java, or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math ...

Data & Platform Engineer

Beaverton, OR · Hybrid

$119K - $143K/yr

Design, build, and maintain data pipelines using SQL, Python, and modern data platforms. * Develop and support business automation solutions using Microsoft Power Platform, including Power Apps.

Build and maintain ETL/ELT data pipelines using SQL, Python, and modern data platforms. * Develop Power Platform solutions including Power Automate, Power Apps, and Dataverse to streamline business ...

Data Engineer

Gresham, OR

$120K - $145K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Portland, OR

$121K - $145K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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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:

$120K - $144K/yr

Full-time

Posted 19 hours ago


Job description

Data Engineer
Primary Responsibilities
• Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data, cloud environment
• Support data aggregation jobs in a production environment as well as tune and optimize existing code base for multiple data products
• Process structured and unstructured data, validate data quality, and help design data quality tests in a big data environment
• Facilitate end to end solution design reviews with other members of the team that include communicating design, requirements, feature sets, functionality and limitations of systems/applications
• Build data movement pipelines leveraging SQL, Python and Spark that meet all functional & non-functional requirements
• Develop efficient feature capabilities to support proper data extraction & curation for analytical purposes
• Develop self-service analytics to enable users to better understand and assess impacts of key business drivers on financial results.
Minimum Qualifications
• 5+ years working as data engineer / database developer (Hadoop, cloud experience preferred)
• 5+ years of experience in data warehousing / big data environment, preferably in wireless industry and/or finance function
• Experience building & optimizing data pipelines on cloud solutions such as AWS & Azure
• Extensive experience in Spark, Python, PySpark, Scala, SQL/Hive
• Familiar with Spark MLlib, SParkSQL
• Writing complex SQL statements and performing data discovery
• Proven experience with data modeling, complex data structures, data processing, data quality, and data lifecycle
• Experience in API design, SDK architecture, and mobile software lifecycle development practices
• Strong organizational and time management skills, ability to prioritize a large group of diverse projects simultaneously, and deliver on multiple threads of work
• Experience working in agile environments on multiple projects simultaneously
• Excellent written and verbal communication skills
• Bachelor's degree in computer science or related technical field