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Python Data Jobs in Portland, OR (NOW HIRING)

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR

$119K - $143K/yr

The ideal candidate will have hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL , along with experience in cloud platforms and modern data engineering practices.

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

The ideal candidate will have hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL , along with experience in cloud platforms and modern data engineering practices.

Hoffman-Construction

Data Scientist 1

Portland, OR · On-site

Results will be communicated using Python visualization tools or Power BI, depending on the audience. The Data Scientist will be comfortable with exploratory data analysis, programming languages such ...

Hoffman Construction

Data Scientist 1

Lake Oswego, OR · On-site

$90K - $110K/yr

Results will be communicated using Python visualization tools or Power BI, depending on the audience. The Data Scientist will be comfortable with exploratory data analysis, programming languages such ...

Hoffman Equipment Yard

Data Scientist 1

Portland, OR · On-site

$90K - $110K/yr

Results will be communicated using Python visualization tools or Power BI, depending on the audience. The Data Scientist will be comfortable with exploratory data analysis, programming languages such ...

Hoffman Construction

Data Scientist 1

Lake Oswego, OR · On-site

Results will be communicated using Python visualization tools or Power BI, depending on the audience. The Data Scientist will be comfortable with exploratory data analysis, programming languages such ...

Autodesk

Data Scientist, FP&A Solutions

Portland, OR · On-site

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to ... Develop Python-based analytical models, forecasting solutions, simulations, and automation for ...

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Showing results 21-40

All JobsPython Data JobsPython Data Jobs in Portland, OR

Python Data information

See Portland, OR salary details

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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:

Python Data jobs near you
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.

Data Engineer - Databricks

Beaverton, OR

BuzzClan LLC
IT Services • 11 - 50 employees
Learn more about BuzzClan LLCexternal

$119K - $143K/yr

Contractor

Posted 13 days ago

Job description

Job Description

Data Engineer – Databricks
Location: Beaverton, OR - Hybrid (3 Days Onsite)
Contract-to-Hire

Job Overview

We are seeking an experienced Data Engineer with strong Databricks expertise to design, develop, and maintain scalable enterprise data pipelines and data engineering solutions. The ideal candidate will have hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL, along with experience in cloud platforms and modern data engineering practices.

Candidates must be local to or able to work onsite in Beaverton, Oregon 3 days per week.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data solutions.
  • Develop and optimize data processing solutions using Databricks, PySpark, Spark SQL, and Delta Lake.
  • Build reliable and high-performance data pipelines using Python and SQL.
  • Implement data integration and transformation processes across various enterprise data sources.
  • Work with cloud platforms such as Azure, AWS, or GCP, with preference for Azure.
  • Develop and manage data workflows using orchestration tools such as Azure Data Factory (ADF) and/or Apache Airflow.
  • Apply data modeling, data warehousing, and performance optimization best practices.
  • Implement data quality, scalability, reliability, and performance improvements across data platforms.
  • Use Git, CI/CD, and DevOps practices to support automated and reliable data deployments.
  • Collaborate with business stakeholders, data architects, developers, and other cross-functional teams to deliver enterprise data solutions.
  • Troubleshoot complex data pipeline and processing issues and provide effective technical solutions.
  • Contribute to modern Databricks capabilities such as Delta Live Tables (DLT), Unity Catalog, and Structured Streaming where applicable.
Qualifications

Required Skills

  • 6+ years of overall IT experience, including 5+ years of Data Engineering experience.
  • Strong hands-on experience with Databricks.
  • Strong expertise in PySpark, Spark SQL, and Delta Lake.
  • Strong programming skills in Python and SQL.
  • Proven experience building scalable ETL/ELT pipelines.
  • Experience with Azure, AWS, or GCP, preferably Azure.
  • Experience with Azure Data Factory (ADF) and/or Airflow.
  • Strong understanding of data modeling and data warehousing.
  • Experience with data pipeline and query performance optimization.
  • Hands-on experience with Git, CI/CD, and DevOps practices.
  • Strong analytical, problem-solving, collaboration, and communication skills.

Preferred Skills

  • Delta Live Tables (DLT)
  • Unity Catalog
  • Structured Streaming
  • Azure cloud data services
  • Experience working with large-scale enterprise data platforms.

Additional Information

All your information will be kept confidential according to EEO guidelines.