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Python Data Developer Jobs in Oregon (NOW HIRING)

Sr Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

Spark * Python * Snowflake * SQL * Experience with AI tools and initiatives * Excellent ... in engineering * Implement distributed data processing pipelines using tools and languages ...

Data Engineer

Eugene, OR · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Implementing systems that leverage data stores that scale horizontally and understanding when a ... Creating fault-tolerant systems that make the devops team happy to deploy your code * Designing and ...

Data Engineer

Salem, OR · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Gresham, OR · On-site

$120K - $145K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Portland, OR · On-site

$121K - $145K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Implementing systems that leverage data stores that scale horizontally and understanding when a ... Creating fault-tolerant systems that make the devops team happy to deploy your code * Designing and ...

Developer

Portland, OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cloud environments (AWS/Azure) and data tools (Python, Workato, Airflow, Git). ● Modern web ... programming languages and tools (Python, SQL, dbt, Git, etc.) to develop integrations and data ...

Developer

Portland, OR · On-site +1

$40 - $45/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cloud environments (AWS/Azure) and data tools (Python, Workato, Airflow, Git). ● Modern web ... programming languages and tools (Python, SQL, dbt, Git, etc.) to develop integrations and data ...

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineering at Netflix is a role that requires building systems to process data efficiently ... Java, Scala, Python) and comfortable working with SQL You enjoy helping teams push the boundaries ...

$160K/yr

Implement data engineering best practices across data modeling, quality, lineage, metadata ... Technical Skills Advanced proficiency with SQL, Python, and DBT. Experience designing and ...

Overview LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions ... Data Pipelines: Design, build, and maintain scalable ETL pipelines using Python and PySpark within ...

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong experience in SQL, Python, and PySpark * Experience working in regulated environments ... Experience with version control and CI/CD pipelines (Azure DevOps, GitHub, etc.) * Knowledge of ...

Sr. Data Operations Engineer

Beaverton, OR

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong experience in SQL, Python, and PySpark * Experience working in regulated environments ... Experience with version control and CI/CD pipelines (Azure DevOps, GitHub, etc.) * Knowledge of ...

Showing results 41-60

Python Data Developer information

What is a Python data developer?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a Python data developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python data developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What job categories do people searching Python Data Developer jobs in Oregon look for?

The top searched job categories for Python Data Developer jobs in Oregon are:

Sr Data Engineer

Ohm Systems, Inc

Beaverton, OR • On-site

$120K - $145K/yr

Other

Posted 4 days ago


Job description

On-site role at Beaverton, Oregon

  • Typical work hours, 4/1 hybrid schedule 
  • Degree will be required for this role 
  • AWS, Databricks certifications nice to have, not required 
  • 10+ years’ experience minimum preferred in a data-related role
  • Prior Nike experience required
  • Top must-have skills include the following: 
    • Databricks 
    • Spark 
    • Python 
    • Snowflake 
    • SQL 
    • Experience with AI tools and initiatives 
    • Excellent communication skills 
  • Skills that would make a candidate stand out: 
  • Experience with/knowledge of finance domain 
  • Experience with data analytics and BI tools

Role Responsibilities:

  • Contribute to Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology
  • Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes
  • Contribute to evaluation of new technologies/tools/frameworks centered around high-volume data processing
  • Translate product backlog items into logical units of work in engineering
  • Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem
  • Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns
  • Work with engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and followed
  • Build and incorporate automated unit tests and participate in integration testing efforts
  • Utilize and advance continuous integration and deployment frameworks
  • Troubleshoot data issues and perform root cause analysis
  • Work across teams to resolve operational & performance issues

Must Have:

  • Bachelor’s degree in Computer Science, or related technical discipline
  • 10+ years of experience in large-scale software development, 5+ years of big data experience
  • Extensive AI knowledge and experience.
  • Programming experience, Python or Scala preferred.
  • Experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.
  • Experience with messaging/streaming/complex event processing tooling and frameworks
  • Experience with data warehousing concepts, SQL and SQL Analytical functions
  • Experience with workflow orchestration tools like Apache Airflow
  • Experience with source code control tools like Github or Bitbucket
  • Ability to communicate effectively, both verbally and written, with team members
  • Interest in and ability to quickly pick up new languages, technologies, and frameworks
  • Experience in Agile/Scrum application development
  •