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Python Data Jobs in Oregon (NOW HIRING)

Our Data Scientists work on the Dataiku platform every day ... Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other ...

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 ...

OR

$114.40K - $137.40K/yr

You will strengthen and scale our Python and Snowflake-based infrastructure, building the core ... Data Enablement: Support the analytics layer by developing core Looker views and building out our ...

Senior Data Analyst

OR · On-site +1

$85.90K - $108.40K/yr

The Senior Data Analyst will play a crucial role in the Stride Marketing Organization and will work ... Develop and maintain Python-based analytical workflows to support machine learning model ...

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 ...

$70K - $104K/yr

Write queries and ensure proper data manipulation, retrieval, and storage for healthcare ... Proficiency with Python, including experience with libraries such as PySpark, Pandas, NumPy, Polars ...

OR

$114.40K - $137.40K/yr

Utilize SQL and Python for ETL, data manipulation, analysis, and process automation. * Implement data quality, monitoring, and governance frameworks across the data pipeline. * Ensure data security ...

... 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 ...

OR

$114.40K - $137.40K/yr

Work with Snowflake, dbt, and Python to support data transformation and pipeline development * Collaborate with stakeholders to translate data requirements into scalable BI solutions * Ensure data ...

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 ...

Qualifications: - Proven experience in data engineering, with a strong understanding of data architecture and ETL processes. - Proficiency in programming languages such as Python, Java, or Scala ...

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Python Data information

See Oregon salary details

$13

$61

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How much do python data jobs pay per hour?

As of May 31, 2026, the average hourly pay for python data in Oregon is $61.98, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $70.38 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 job categories do people searching Python Data jobs in Oregon look for? The top searched job categories for Python Data jobs in Oregon are:
What cities in Oregon are hiring for Python Data jobs? Cities in Oregon with the most Python Data job openings:
Senior Data Scientist, West

Other

Posted 14 days ago


Job description

The role of a Senior Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.

Key Areas of Responsibility (What You'll Do)

  • Scope and co-develop production-level data science projects with our customers across different industries and use cases
  • Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support
  • Provide strategic input to the customer and account teams that help make our customers successful.
  • Provide data science expertise both to customers and internally to Dataiku's sales and marketing teams
  • Lead technical data science projects pre-sales scoping and design appealing proposals
  • Flag technical and non-technical account risks (onboarding issues, performance pitfalls, timeline slippage)
  • Develop custom Python-based "plugins" in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku's functionality
  •  Lead Data Scientist engagements: You will coordinate agile sprints, prioritize tasks, estimate effort, do backlog grooming
  • Run demo booth/tech talk duties at company public events (e.g. Everyday AI)
  • Lead Junior Data Scientist technical interview
  • Contribute to 2 internal assets (internal best practice or external blog post/project on the public gallery) per year

Experience (What We're Looking For):

  • Curiosity and a desire to learn new topics and skills
  • Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public
  • The ability to clearly explain complex topics to technical as well as non-technical audiences
  • Over 5 years of experience with Python and SQL
  • Over 5 years of experience with building ML models and using ML tools (e.g., sklearn)
  • Experience with LLMs
  • Experience with data visualization and building web apps with Python frameworks (Dash, Streamlit)
  • Understanding of underlying data systems such as Cloud architectures and SQL
  • Bachelor's or Master's program focused on: Statistics, Computer Science, or a related field
  • Location: Must be located within the CST, MST, and PST time zones

Bonus points for any of these:

  • Experience using Dataiku DSS
  • Experience with Consulting and/or Customer-facing Data Science roles
  • Experience in the Manufacture & Defense sector
  • Experience with Data Engineering or MLOps
  • Experience developing WebApps in Javascript
  • Experience building APIs
  • Passion for teaching or public speaking