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Bank Python Jobs in Oregon (NOW HIRING)

Design, build, and optimize FTP and ETL jobs for ingesting data from a variety of core banking ... Experience with Python * Linux system administration skills * Enough knowledge of Java to maintain ...

Design, build, and optimize FTP andETL jobsfor ingesting data from a variety of core banking ... Experience with Python * Linux system administration skills * Enough knowledge of Java to maintain ...

... Banking, Retail, e-commerce, Automotive, Life Science, Insurance, legal, healthcare, among others ... Fluency in Linux scripting languages (Python, Perl, Bash, etc.). Working experience in ...

Platform Engineer

OR ยท On-site +1

Contribute to platform security posture through container security practices, Iron Bank image ... Proficiency in one or more programming languages (Go, Python, or Bash scripting) * Experience ...

... Python to develop scripts, debug, and solve problems. โ€ข GitOps tooling (ArgoCD or FluxCD). โ€ข ... Iron Bank. โ€ข Previous AWS Cloud computing experience. โ€ข Prior work for DOD and/or Federal ...

FP&A Revenue Manager

OR ยท On-site +1

Experience using programming skills for data analysis (Tableau, SQL, and Python/R programming ... Big 4 experience or investment banking experience. * Experience in a high-growth, rapidly changing ...

Showing results 21-40

Bank Python information

See Oregon salary details

$13

$61

$91

How much do bank python jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for bank python 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 Bank Python?

A Bank Python is not a recognized job title within the banking or technology industries. It may refer to a Python developer working in a bank, responsible for building, maintaining, or automating financial applications using the Python programming language. These professionals help streamline banking operations, develop algorithms for financial analysis, and ensure secure data processing. Their work is crucial for enhancing efficiency and accuracy in banking systems.

What are the key skills and qualifications needed to thrive as a Bank Python developer?

To thrive as a Bank Python Developer, you need strong programming skills in Python, expertise in financial data analysis, and a relevant degree in computer science or a related field. Familiarity with SQL databases, version control systems like Git, and experience with financial software or regulatory compliance tools are typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills that help in collaborating with cross-functional teams and ensuring accuracy. These skills and qualities are crucial to efficiently develop reliable banking applications, maintain system integrity, and adapt to the fast-evolving financial technology landscape.

How do Python developers in banking typically collaborate with other teams, such as risk management or data analysis?

Python developers in banking frequently work in cross-functional teams, collaborating closely with professionals from risk management, data analysis, and operations. They often translate complex business requirements into efficient, automated solutions, such as risk assessment models or data pipelines. Regular meetings, code reviews, and joint project planning are common practices to ensure alignment and compliance with regulatory standards. This collaborative environment not only enhances the quality of deliverables but also provides developers with a broader understanding of banking operations.

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

AspectBank PythonBank Data Analyst
Required CredentialsPython programming skills, possibly certifications in data analysis or programmingDegree in finance, economics, or data analysis; certifications like CFA or data analytics certifications
Work EnvironmentTech-focused teams within banks, working on automation, data processing, and software developmentFinancial institutions, analyzing data to inform business decisions, reporting, and risk assessment
Industry UsageUsed for automating banking processes, developing financial models, and data managementUsed for interpreting financial data, creating reports, and supporting strategic decisions

Bank Python professionals focus on programming and automation within banking systems, while Bank Data Analysts interpret financial data to guide business strategies. Both roles are vital in modern banking but differ in skill sets and daily tasks.

What are popular job titles related to Bank Python jobs in Oregon?

For Bank Python jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Bank Python jobs?

Cities in Oregon with the most Bank Python job openings:

Senior Data Integration Engineer

Portland, OR โ€ข On-site

Pay Lynxs
IT Servicesย โ€ขย 11 - 50 employees

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago


Job description

Do you bring hands-on experience, enjoy complex data integrations and have a passion for automation and scalability? Looking for a place where you can grow and improve your DevOps and application interfacing skills?
Well, you're in the right place! PayLynxs is hiring a Senior Data Integration Engineer to join our team in Portland, Oregon!
Description
We are looking for a hands-on Senior DevOps Engineer to be part of our DevOps team, with a primary focus on ETL development, automation, third party integrations, and client onboarding scalability. This role is ideal for someone who enjoys building, coding, and solving complex ETL and workflow challenges to drive operational improvements.
Responsibilities
  • Design, build, and optimize FTP and ETL jobs for ingesting data from a variety of core banking systems
  • Help to accelerate onboarding for new clients.
  • Suggest ideas to improve and refactor existing ETL processes for performance, reliability, and scalability
  • Design and develop data loading monitoring dashboard, logging and alerting for internal and external users.

Key Qualifications
  • Attention to detail
  • Motivation to automate everything
  • Attention to documenting processes
  • Leadership qualities to mentor others

Experience
  • 6+ years in DevOps, Data Integration Engineering, or related roles
  • Strong hands-on experience building batch or API related integrations and ETL processing.
  • Experience working with complex or inconsistent data sources (financial data a plus)

Technical Skills
  • Advanced experience with Pentaho Jobs and Transforms
  • Experience with Python
  • Linux system administration skills
  • Enough knowledge of Java to maintain spring boot modules
  • Mysql or Mariadb SQL experience
  • Experience with handling ETL tasks on very large datasets
  • Knowledge of Apache Hop

What Sets You Apart
  • You enjoy solving messy data problems and making them scalable
  • You appreciate the value of insight, monitoring and dashboard reports to external users to streamline visibility into the data loading process
  • You think in systems and automation-not one-off solutions
  • You are hands-on and love building

Compensation
Competitive salary commensurate with experience, technical expertise, and leadership capabilities. Pay Lynxs offers a comprehensive benefits package including health insurance, paid time off, and a 401(k) matching program.