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Flask Developer Jobs in Oregon (NOW HIRING)

phData

OR

Expertise in modern programming languages such as Python, Scala, Java, or similar, including experience developing APIs and web server applications using frameworks such as Flask, Django, or Spring.

phData

OR

Hands-on expertise in modern programming languages such as Python, Scala, Java, or similar, including experience developing APIs and web applications using frameworks such as Flask, Django, or Spring.

Guidehouse

OR

AWS Certified Developer - Amazon Web Services * Flask, Docker, EKS/Kubernetes, AWS Step Functions, Event Bridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, Redis, Memcached, the ...

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Nextdoor

OR · Hybrid

We aren't looking for prompt engineers; we're looking for people who use tools like Claude, Gemini ... Own the end-to-end marketing event path from Flask and other product sources into Segment and ...

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How much do flask developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for flask developer in Oregon is $55.87, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $68.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Flask Developer, and why are they important?

To thrive as a Flask Developer, you need strong proficiency in Python programming, web development fundamentals, and a solid understanding of the Flask microframework. Familiarity with tools like Git, RESTful APIs, SQL/NoSQL databases, and experience deploying applications using cloud services or containerization (e.g., Docker) are typically required. Effective problem-solving, attention to detail, and strong communication skills help developers collaborate efficiently and create robust, scalable solutions. These skills and qualities are essential for building secure, maintainable web applications that meet both technical and business requirements.

What are the common challenges Flask Developers face when working on large-scale applications?

Flask Developers often encounter challenges related to scalability and maintainability when building large-scale applications, as Flask is a microframework that provides flexibility but requires careful planning of architecture. Managing complex codebases, integrating multiple extensions, and ensuring consistent coding standards across teams can be tricky. Effective communication and collaboration with front-end developers, DevOps, and QA teams are essential to maintain smooth workflows. Adopting best practices for project structure, modular code, and thorough documentation helps address these challenges and supports long-term project success.

What are Flask Developers?

Flask Developers are software professionals who specialize in building web applications using the Flask framework, a lightweight and flexible web framework for Python. Their responsibilities typically include designing, developing, testing, and deploying web applications, as well as integrating databases, APIs, and front-end technologies. Flask Developers often work on projects that require rapid prototyping, microservices, or minimalistic web solutions due to Flask's simplicity and modularity.

What is the difference between Flask Developer vs Django Developer?

AspectFlask DeveloperDjango Developer
Required CredentialsProficiency in Python, basic web development skillsProficiency in Python, web frameworks, and often more extensive experience
Work EnvironmentLightweight, flexible projects, microservicesFull-stack applications, larger projects, enterprise solutions
Industry UsageStartups, small to medium projectsLarge-scale applications, enterprise-level projects
Common Search/ComparisonYesYes

Flask Developers typically work on lightweight, flexible web applications and microservices, making them ideal for startups and small projects. Django Developers focus on full-stack, scalable applications suitable for larger, enterprise-level projects. Both roles require strong Python skills, but Django Developers often have additional experience with comprehensive web frameworks and database management.

What are popular job titles related to Flask Developer jobs in Oregon? For Flask Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Flask Developer jobs in Oregon look for? The top searched job categories for Flask Developer jobs in Oregon are:
Flask Developer jobs near you
Infographic showing various Flask Developer job openings in Oregon as of May 2026, with employment types broken down into 1% Internship, 17% Full Time, 41% Part Time, 1% Temporary, and 40% Contract. Highlights an 6% Physical, 12% Hybrid, and 82% Remote job distribution, with an average salary of $116,201 per year, or $55.9 per hour.
Data Scientist I or II (MAD-BS-OR)

Data Scientist I or II (MAD-BS-OR)

Hitachi, Ltd.

Hillsboro, OR • On-site

$121.67K - $167.30K/yr

Full-time

Posted 26 days ago

Job description

Location:
(HTA) NCP (Hillsboro, OR)
Job ID:
R0128931
Date Posted:
2026-05-01
Company Name:
HITACHI HIGH-TECH AMERICA, INC.
Profession (Job Category):
Data Analytics/Business Intelligence
Job Schedule:
Full time
Remote:
No
Job Description:
POSITION: Data Scientist I or II
DIVISION: Metrology and Analysis Systems Division (MAD)
COMPANY: Hitachi High-Tech America, Inc. ("HTA")
TRAVEL: Up to 5% (internationally)
REMOTE WORK: Hybrid (+50% Remote) - Remote 60% / Onsite 40%
EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136,961 annually
Data Scientist II: $121,673 - $167,301 annually
This pay range is for the position's base pay only. This position may be eligible for other compensation including bonus pay and/or allowances. Candidates will receive additional information during the interview and selection process.
Position Level: The best fit candidate selected for this position will be offered a job title/level (Data Scientist I vs. Data Scientist II) that is most appropriate after evaluating the person's education, experience, training, knowledge, skills, and abilities.
POSITION SUMMARY
Data Scientists are responsible for the development and maintenance of Artificial Intelligence (AI) software and systems for Hitachi High-Tech America, Inc. (HTA) products.
PRIMARY RESPONSIBILITIES
  • Hands-on development and write algorithms in machine learning, statistical modelling, neural nets, and pattern recognition from data exploration
  • Develop, train, and deploy ML models for Time-series forecasting and anomaly detection. Classification and regression on tabular and sensor data, predictive maintenance and failure prediction
  • Design end-to-end ML pipelines including Data ingestion, feature engineering, model training, evaluation, and deployment
  • Lead and support Root Cause Analysis (RCA) investigations using data-driven approaches
  • Build frameworks for Fault Tree Analysis (FTA) and failure mode identification
  • Collaborate with domain experts (engineering, operations) to translate failure patterns into ML features and models
  • Design and develop Agentic AI systems capable of:
    • Autonomous reasoning over structured and unstructured data
    • Tool usage (query engines, APIs, analytics pipelines)
    • Multi-step decision making and diagnostics workflows
  • Implement LLM-based systems with:
    • Tool-calling frameworks
    • Retrieval-Augmented Generation (RAG)
    • Structured outputs and validation pipelines
  • Partner with cross-functional teams (Data Engineers, Software Engineers, Domain Experts)
  • Build scalable, production-ready solutions using:
    • 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 (Docker, Kubernetes)
  • Work with modern data platforms:
    • Time-series DBs (e.g., Prometheus, InfluxDB)
    • Analytical DBs (e.g., ClickHouse, PostgreSQL)
    • Vector DBs (e.g., Qdrant, FAISS)
  • Translate business problems into technical solutions
  • Creating architecture and complex designs independently and documenting them
  • Integrate and test software to confirm compliance with specifications
  • Developing functional specifications
  • Participate in design reviews, code reviews of peers and test reviews
  • Performing functional tests
  • Other duties as assigned

EDUCATION, LICENSES, and/or CERTIFICATION REQUIREMENTS
  • Master of Science degree in Data Science, Statistics, Computer Science, or similar quantitative field

EXPERIENCE and TRAVEL REQUIREMENTS
  • Must have at least five (5) years of practical experience in writing algorithms in Machine Learning, Statistical Modelling, Neural Nets, and Pattern Recognition from data exploration
  • Five (5) years of experience in Data Science / Machine Learning
  • Strong programming skills in Python
  • Proven experience with:
    • Time-series analysis and anomaly detection
    • Statistical modeling and machine learning algorithms
  • Hands-on experience with:
    • Root Cause Analysis (RCA)
    • Fault Tree Analysis (FTA) or failure modeling
  • Experience working with real-world, noisy, and large-scale datasets
  • Experience with Agentic AI / LLM systems, including:
    • Tool-calling architecture
    • RAG pipelines
    • Prompt engineering and evaluation frameworks
  • Familiarity with:
    • Distributed systems and scalable ML infrastructure
    • MLOps practices (CI/CD, monitoring, model versioning)
  • Knowledge of:
    • Signal processing or physics-based modeling
    • Graph-based reasoning or causal inference
  • Full software development lifecycle experience, must be comfortable working using Agile as well as iterative methodologies
  • Experience with Test-driven development using tools to spot performance issues and memory leaks.
  • This position requires international travel for business purposes - up to 5%

SKILLS and ABILITIES REQUIREMENTS / SAFETY REQUIREMENTS
  • Ability to investigate and apply new technologies
  • Effective oral and written communication skills, including ability to effectively communicate challenging or technical concepts.
  • Excellent relationship building skills
  • General technical knowledge of semiconductor metrology equipment
  • Strong engineering analytical and problem-solving skills
  • Proactively undertake R&D activities and deliver tangible results under deadlines
  • Ability to manage multiple tasks and prioritize work accordingly
  • Work longer than normal hours as needed during releases and customer escalations
  • Self-sufficient, self-reliant, and self-disciplined, but also able to operate effectively as part of a team
  • Ability to comprehend and enforce safety policies

Equal Opportunity Employer (EOE)
Hitachi High-Tech America, Inc. is an equal opportunity employer. Hitachi High-Tech America, Inc. is committed to equal employment opportunities for qualified applicants without discrimination on the basis of actual or perceived of race (including traits historically associated with race, such as natural hairstyle), color, national origin, ancestry, religious creed, age, sex, sexual orientation, gender (including gender expression and gender identity), marital status, registered domestic partner status, family status, military and veteran status, domestic violence victim status, medical condition (including genetic characteristics), physical or mental disability, pregnancy, or any other legally protected characteristic or status.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to HTA-AccommodationRequests@hitachi-hightech.com
Hitachi Vantara logo

About Hitachi Vantara

Sourced by ZipRecruiter

Hitachi Rail is a fully integrated, global provider of rail solutions across rolling stock, signaling, service & maintenance, digital technology and turnkey. With a presence in 38 countries across three continents and over 13,000 employees, our mission is to contribute to society through the continuous development of superior rail transport solutions.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

2017

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