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Python Sql Jobs in Portland, OR (NOW HIRING)

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.

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.

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.

Showing results 21-40

Python Sql information

See Portland, OR salary details

$14

$62

$91

How much do python sql jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python sql 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 SQL?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.

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

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Is Python and SQL a good combination?

Python and SQL are commonly used together in data analysis, database management, and backend development roles. Python's libraries like SQLAlchemy and pandas facilitate database interactions, making this combination valuable for automating data workflows and building data-driven applications.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential. While Python and SQL are core skills, employers often value additional knowledge such as data analysis, version control, and familiarity with frameworks or cloud platforms. Certifications and practical experience can also improve job prospects in this field.

What jobs can you get with SQL and Python?

Jobs that require SQL and Python include data analyst, data scientist, database administrator, backend developer, and machine learning engineer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring knowledge of related tools like Pandas, SQL databases, and cloud platforms.

What are the most commonly searched types of Python Sql jobs in Portland, OR?

The most popular types of Python Sql jobs in Portland, OR are:

What are popular job titles related to Python Sql jobs in Portland, OR?

For Python Sql jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Python Sql jobs in Portland, OR look for?

The top searched job categories for Python Sql jobs in Portland, OR are:

Infographic showing various Python Sql job openings in Portland, OR as of September 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,310 per year, or $62.2 per hour.

Industrial Engineer - Foundry Quality and Reliability Labs

Hillsboro, OR • On-site

Intel Corporation
Manufacturing • 10K+ employees

$120K - $170K/yr

Other

Medical, Retirement, PTO

Re-posted 18 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz


Job description

Job Details: Job Description: The Role and Impact As labs Industrial Engineer, you will play a crucial role in optimizing factory operations, improving workflow efficiency, and driving productivity to meet customer demands for lab testing and failure analysis services This role supports Demand and Capacity Planning for lab operations while driving continuous operational improvement through the development and management of key performance indicators, and automation systems. The ideal candidate combines strong industrial engineering fundamentals with advanced data scripting capabilities and lab/manufacturing systems expertise to deliver data-informed decisions, streamlined workflows, and measurable performance gains across a dynamic foundry lab ecosystem.

Business group

This role is part of Intel's Foundry Quality and Reliability Labs organization, a team dedicated to ensuring Intel's global lab capabilities meet the evolving needs of customers and the business. The group focuses on operational excellence, efficiency, and innovation in lab processes, supporting Intel's foundry mission to deliver world-class technology solutions.

Key Responsibilities
  • Develop, maintain, and optimize end-to-end Demand and Capacity Plans for Quality and Reliability Lab operations, including failure analysis, material analysis and reliability validation workflows
  • Build and manage capacity models using industrial engineering methodologies (time studies, standard work, utilization analysis) to identify bottlenecks, over/under-capacity conditions, and optimization opportunities
  • Design, develop, pilot and implement a comprehensive Key Performance Indicator (KPI) framework for Quality and Reliability Lab operations encompassing throughput time (TPT), utilization, quality yield, cost per test, and equipment effectiveness
  • Build automated KPI dashboards and reporting pipelines using Power BI, Python, and SQL to provide real-time and trend-based visibility into lab performance for all stakeholder levels. Integrate KPI data streams from MES, Workstream, and IT platforms to create unified operational visibility and eliminate manual reporting redundancies. Support the design, implementation, and continuous improvement of Quality Management System (QMS) processes within the Reliability and Quality Labs in full compliance with ISO 9001 and ISO/IEC 17025 standards. Collaborate with cross‑functional stakeholders to plan equipment purchases, layout changes, and workflow improvements. Utilize data analysis and complex modeling techniques to enhance lab output and optimize process flows. Define and manage tool metrics, monitor tool performance, and drive productivity improvements.
Minimum Qualifications
  • Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or a related field with 4+ years of hands‑on experience in industrial engineering or manufacturing operations OR a Master's degree in Industrial Engineering or related field with 3+ years of hands‑on experience OR a PhD with no prior professional experience.
  • Proficiency in capacity planning, factory operational planning, and lean manufacturing principles.
  • Experience with Python, SQL, and Power BI for data extraction, transformation, aggregation, and reporting.
  • Expertise in data analysis and modeling tools for manufacturing or operational optimization.
  • Demonstrated ability to manage projects effectively and deliver results within deadlines.
Preferred Qualifications
  • Strong communication and collaboration skills to engage with cross‑functional teams and stakeholders.
  • Experience with facility and equipment design for flexible manufacturing solutions.
  • Familiarity with tools, processes, and metrics related to factory layout and workflow optimization.
  • Hands‑on experience with Equipment Management Systems (EMS) for asset tracking and data extraction.
  • Working knowledge of ISO 9001 and ISO/IEC 17025 Quality Management System requirements.

Job Type: Experienced Hire

Shift: Shift 1 (United States of America)

Primary Location: US, Oregon, Hillsboro

Additional Locations: US, Arizona, Phoenix

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $120,860.00-170,630.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

This role will require an on‑site presence.

Work Model for this Role
  • Job posting details (such as work model, location or time type) are subject to change.
  • ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter. Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology.
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What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968