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Python Pandas Jobs in Oregon (NOW HIRING)

Nvidia

Senior Architect, Data Center Modeling

Hillsboro, OR · On-site

$73.25 - $98/hr

Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills ... Expertise in data analysis and visualization, especially pandas and associated technologies * A ...

Nvidia

OR · On-site

$67.25 - $90/hr

Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills ... Expertise in data analysis and visualization, especially pandas and associated technologies * A ...

ClickHouse

OR

$122.40K - $161.30K/yr

Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

Guidehouse

OR

$242.80K/yr

Strong knowledge of core Python ML/data libraries: NumPy, Pandas, Scikit-learn, NLTK, OpenCV . * Familiarity with deep learning frameworks such as PyTorch or TensorFlow . * Experience with search ...

Instacart

OR · On-site

Expertise in Python or R and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools. * Self-motivation and a strong sense of ownership

NewRocket

OR

$63.75 - $82/hr

Strong coding expertise in Python & SQL, with ML frameworks (TensorFlow, PyTorch, Scikit-learn). * Deep knowledge of algorithms, OOP, and functional design principles. * Proficiency with Pandas ...

OneStudyTeam

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries ...

SOSi

Data Scientist

OR

Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure ...

SOSi

Data Scientist

OR · On-site +1

Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure ...

SOSi

Data Scientist

Myrtle Point, OR · On-site

Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure ...

Hitachi

$99.61K - $136.96K/yr

Python-based ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Data processing tools (Pandas, Spark, SQL) * Deploy models and services using: * REST APIs (FastAPI, Flask) * Containerization ...

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How much do python pandas jobs pay per hour?

As of May 30, 2026, the average hourly pay for python pandas 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 is a Python Pandas job?

A Python Pandas job involves working with the Pandas library to manipulate, analyze, and visualize data efficiently. Professionals in these roles typically clean and preprocess datasets, perform exploratory data analysis (EDA), and generate insights for decision-making. They are commonly found in data science, analytics, and engineering fields, often working with big data, automation, or business intelligence tools. Strong knowledge of Python, SQL, and data visualization libraries like Matplotlib or Seaborn may also be required.

What are the key skills and qualifications needed to thrive in the Python Pandas position, and why are they important?

To thrive in a Python Pandas role, you need strong expertise in Python programming, data manipulation, and analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like Jupyter Notebook, SQL databases, and data visualization libraries, as well as certifications in data analytics or Python, are common. Excellent problem-solving skills, attention to detail, and the ability to communicate findings clearly make candidates stand out. These skills ensure you can efficiently handle complex datasets, derive actionable insights, and effectively collaborate with data teams.

What are the main responsibilities for professionals working with Python Pandas in a data-driven role?

Professionals specializing in Python Pandas are typically responsible for cleaning, transforming, and analyzing large datasets to support business decisions. They collaborate closely with data scientists, analysts, and stakeholders to create data models, generate reports, and provide insights that guide strategy. Daily tasks may include scripting data pipelines, troubleshooting data issues, and presenting findings in an accessible format. This role often provides opportunities for growth into senior analyst, data engineering, or data science positions, especially as you gain experience in advanced analytics or machine learning applications.
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Python Pandas jobs near you
Infographic showing various Python Pandas job openings in Oregon as of May 2026, with employment types broken down into 7% Internship, 62% Full Time, 6% Part Time, and 25% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $128,917 per year, or $62 per hour.
AI Intern, Data Engineering & Agent Workflows (Unpaid)

AI Intern, Data Engineering & Agent Workflows (Unpaid)

Armada

Remote

Other

Posted yesterday

Job description

About the role:

We are seeking a motivated AI Intern to join the Data & AI Agent team and help build the data infrastructure, AI agents, and automated workflows that power Armada's go-to-market motion. This is a hands-on role focused on data engineering and applied AI - not traditional ML research. You'll work directly with the Head of Data and AI Agent on the systems that turn fragmented Salesforce, SharePoint, and operational data into a single source of truth, and on the AI-powered tooling (lead scoring, signal intelligence, internal copilots) that runs on top of it. 

We are seeking a motivated Intern (unpaid) to join our team. This unpaid internship program is tailored for engineering students seeking to enrich their academic learning with practical, hands-on experience in the field.

Location: This role is remote.

Key Responsibilities: 

  • Build and maintain data pipelines across Salesforce, SharePoint, Excel, and operational systems into our StarRocks data warehouse using dbt and Python. 
  • Develop and ship AI agents and copilots using the Claude API (and other LLM tooling) for use cases like lead scoring, account research, call analysis, and internal Q&A over company data. 
  • Design and automate cross-system workflows using Power Automate, Teams Adaptive Cards, and lightweight Python/FastAPI services to replace manual, spreadsheet-driven processes. 
  • Model business data in dbt and Omni - building reusable semantic models, metrics, and dashboards that GTM, RevOps, and leadership rely on. 
  • Enrich and clean prospect and account data using sources like ZoomInfo, LinkedIn Sales Navigator, and public government datasets (e.g., USASpending, SAM.gov, FCC, EIA, FERC, SEC EDGAR). 
  • Prototype and ship internal tools end-to-end - backend (Python/FastAPI), frontend (Vite/React), and storage (PostgreSQL, StarRocks) - for AI-prioritized daily workflows. 
  • Write clear documentation for data models, pipelines, agents, and workflows so the team can extend and maintain them. 
  • Collaborate with GTM, RevOps, Finance, and product teams to translate business questions into data and automation solutions. 
  • Stay current on advances in agentic AI, retrieval, evals, and the modern data stack - and bring useful ideas back to the team.
  •  

Qualifications: 

  • Pursuing or recently completed a degree in Computer Science, Data Science, Data Engineering, Information Systems, Analytics, or a related field. 
  • Strong Python skills, including experience with libraries like Pandas, requests, and FastAPI or Flask. 
  • Solid SQL skills - able to write and debug analytical queries (joins, window functions, CTEs) against real-world, messy data. 
  • Familiarity with the modern data stack (dbt, a columnar warehouse such as StarRocks/Snowflake/BigQuery/Databricks, and a BI tool such as Omni, Tableau, Looker, or Power BI). 
  • Hands-on experience building something with an LLM API (Claude, OpenAI, etc.) - even a side project counts. Familiarity with prompt design, tool/function calling, or RAG is a strong plus. 
  • Exposure to workflow automation tools (Power Automate, Zapier, n8n, Airflow, or similar). 
  • Comfort with Git and basic software engineering practices (branches, PRs, code reviews). 
  • Strong problem-solving and analytical skills; able to work independently and in a team-oriented environment. 

What You'll Gain: 

  • Hands-on experience working with modern AI, automation, and data engineering tools in a real-world business environment
  • Exposure to cutting-edge technologies including LLMs, workflow automation, and cloud data platforms
  • The opportunity to build impactful projects used by GTM, RevOps, Finance, and leadership teams
  • Mentorship and collaboration with experienced engineers and business leaders
  • Practical experience with Python, SQL, dbt, APIs, dashboards, and AI-powered workflows
  • A stronger technical portfolio and resume through meaningful, production-focused projects
  • Insight into how AI and data systems drive decision-making and operational efficiency in a fast-growing technology company
  • Professional development in problem-solving, communication, collaboration, and cross-functional teamwork

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