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Python Data Jobs in Portland, OR (NOW HIRING)

Machine Learning Data Scientist

Lake Oswego, OR · On-site

$122.64K - $165.47K/yr

Proficiency in Python and SQL for data manipulation and algorithm development. * Strong grasp of data engineering concepts including data lakes, ETL tools, and columnar formats. * Experience in ...

Data Visualization Engineer

Beaverton, OR · On-site

$120.80K - $145K/yr

Required : • Minimum 5-6 years of experience • Strong background in data and visualization engineering • Proficiency in Python for coding and data integration • Expertise in SQL for querying ...

Data Architect (Data Platform)

Portland, OR · On-site

$67.50 - $87/hr

Extensive experience in building and scaling large data pipelines including real time processing and / or 100+ GB transformation in Java, Python, DBT, and SQL. * Extensive experience in building and ...

Data Architect (Data Platform)

Portland, OR

$67.50 - $87/hr

Extensive experience in building and scaling large data pipelines including real time processing and / or 100+ GB transformation in Java, Python, DBT, and SQL. * Extensive experience in building and ...

Data Visualization Engineer 4

Beaverton, OR · On-site

$119.10K - $143.10K/yr

Job Title- Data Visualization Engineer 4 Reporting Type- Beaverton, OR 97005 Work Timing- Monday to ... Python) - SQL experience - Power BI experience Necessary soft skills: - Ability to work ...

Develop and automate data workflows utilizing SQL and Python to reduce manual efforts and enable faster, repeatable analytics across large-scale supply chain datasets. * Leverage AI-powered tools ...

We are looking for a Data Engineer to support our Enterprise Data Management team. If you are ... Advanced knowledge of multiple programming languages, such as Python, SQL, Scala, or similar

We are looking for a Data Engineer to support our Enterprise Data Management team. If you are ... Advanced knowledge of multiple programming languages, such as Python, SQL, Scala, or similar

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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 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:

Hadoop Developer/Data Engineer

Futran Tech Solutions Pvt. Ltd.

Portland, OR • On-site

Contractor

Posted 29 days ago


Job description

Job title: Hadoop Developer/Data Engineer
Location: Portland, OR
Job description:
  • 5+ years relevant work experience in the Data Engineering field

  • 3+ years of experience working with Hadoop and Big Data processing frameworks (Hadoop, Spark, Hive, Flink, Airflow etc.)
  • 2+ years of experience Strong experience with relational SQL and at least one programming language such as Python, Scala, or Java
  • Experience working in AWS environment primarily EMR, S3, Kinesis, Redshift, Athena, etc.
  • Experience building scalable, real-time and high-performance cloud data lake solutions
  • Experience with source control tools such as GitHub and related CI/CD processes.

  • Experience working with Big Data streaming services such as Kinesis, Kafka, etc.
  • Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
  • Experience with data warehouses/RDBMS like Snowflake & Teradata