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Python Data Jobs in Portland, OR (NOW HIRING)

Pwc

GenAI Python Systems Engineer-Director

Portland, OR

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

Pwc

GenAI Python Systems Engineer-Manager

Portland, OR

$99K - $232K/yr

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 ...

Danta Technologies

Data Engineer - Snowflake / AWS

Portland, OR · On-site

$121.40K - $145.80K/yr

... python for scripting and automation of data processes and workflows. • Collaborate with cross functional teams to understand data requirements and ensure the successful delivery of technical ...

Eyecarecenterofsalem

Data Scientist

Portland, OR

... 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 ...

campus4tech

Data Engineer

Beaverton, OR · On-site

$119.10K - $143.10K/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

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 ...

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Python Data information

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$62

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How much do python data jobs pay per hour?

As of May 30, 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 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 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 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
Big Data Engineer

Big Data Engineer

Avani Technology Solutions, Inc.

Hillsboro, OR • On-site

$58 - $76.75/hr

Full-time

Posted 23 days ago

Job description

  • Expert in Spark, Python scripting and strong in SQL
  • 5+ years processing large datasets on big data platform such as SPARK; Python EMR; Hadoop on AWS
  • 5+ years of experience architecting and building scalable Reporting and Advance Analytics solutions using Big Data technologies
  • Hands-on experience AIRFLOW; GLUE; AWS DataPipeline or similar services on AWS
  • Experience with Database solutions on cloud such as Redshift or Snowflake is preferable.
  • Proven experience building libraries, user defined functions and frameworks on Big Data Platform.
  • Experience with performance/scalability tuning, algorithms and computational complexity

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