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Bank Python Jobs in Utah (NOW HIRING)

Data Analytics Engineer

Ogden, UT · On-site

$112K - $134K/yr

Financial Services and Commercial Banking experience is a plus Competencies: Proficient in Python and SQL * Data warehousing and modeling, including dimensional and normalized models * Tableau or ...

Data Analytics Engineer

Ogden, UT · On-site

$112K - $134K/yr

Financial Services and Commercial Banking experience is a plus Competencies: Proficient in Python and SQL * Data warehousing and modeling, including dimensional and normalized models * Tableau or ...

The primary function of this role will be to support the Bank's strategic partner program by ... Ability to program and conduct analysis using SQL, R, Python, SAS or similar applications

The primary function of this role will be to support the Bank's strategic partner program by ... Ability to program and conduct analysis using SQL, R, Python, SAS or similar applications

DevOps Engineer, IT Automation

Salt Lake City, UT · Hybrid

$51 - $70/hr

... banking applications, and service management tools. The ideal candidate has strong hands-on experience with Python, PowerShell, REST APIs, JSON, version control, and modern automation practices. This ...

Demonstrated proficiency in multiple programming languages (e.g., Java, C#, Python, REACT, Node JS ... Bank will not sponsor applicants for work visas.

... bank's next generation of digital capabilities. Along the way, you'll mentor other engineers and ... Demonstrated proficiency in multiple programming languages (e.g., Java, C#, Python, REACT, Node JS ...

Senior Software Engineer

Midvale, UT · On-site

$115K - $152K/yr

In this role, you will have a direct impact on the bank's core infrastructure by ensuring high ... Develop solutions and system integrations using Python, Java, and RESTful APIs. * Utilize ...

Job Type Full-time Description At First Electronic Bank (FEB), we are driven by the purpose to make ... Proficiency in Excel; basic familiarity with SQL, R, Python, and data visualization tools.

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Showing results 1-20

Bank Python information

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

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.
What cities in Utah are hiring for Bank Python jobs? Cities in Utah with the most Bank Python job openings:
Data Analytics Engineer

Data Analytics Engineer

TAB Bank

Ogden, UT • On-site

$112K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the bank’s Business Intelligence pipelines, modeling, and reporting. This role bridges data engineering, analytics, and business intelligence by transforming complex data into reliable, actionable intelligence and insights for strategic decision-making across the organization. The ideal candidate combines strong analytical skills with technical expertise in SQL, data modeling, Python pipelines, and visualization tools.

Essential Duties and Responsibilities:

  • Collect, clean, and analyze large datasets from multiple sources
  • Design and maintain data models, dashboards, and reporting systems
  • Develop and optimize SQL queries, ETL processes, and data pipelines
  • Collaborate with business stakeholders to understand reporting and analytics needs
  • Monitor data quality, integrity, and consistency across systems
  • Build automated reports and visualizations using BI tools
  • Identify trends, patterns, and opportunities through statistical analysis
  • Support decision-making with data-driven recommendations
  • Work with data engineers and software teams to improve data architecture
  • Document data definitions, workflows, and technical processes

Required education and experience:

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, or related field

  • 3+ years of experience in business intelligence, analytics engineering, or data engineering
  • Advanced SQL skills and experience working with large relational and cloud-based datasets
  • Proficiency in Python or another analytics/programming language
  • Understanding of data warehousing and data modeling concepts, including dimensional and normalized models
  • Experience with BI and visualization tools such as Power BI or Tableau
  • Strong analytical, communication, and problem-solving skills
  • Or an equivalent combination of education and experience that provides the required knowledge, skills, and abilities

Preferred education and experience:

 MSSQL and Python experience preferred

  • Experience with large scale streaming pipelines is a plus
  • Snowflake experience is a plus
  • Financial Services and Commercial Banking experience is a plus

Competencies:

 Proficient in Python and SQL

  • Data warehousing and modeling, including dimensional and normalized models
  • Tableau or Power BI
  • Must have independent problem-solving skills and ability to develop solutions to complex analytical/data modeling problems
  • Excellent verbal and written communication skills and the ability to interact professionally with a diverse group including executives, managers, and subject matter experts
  • Successfully engage in multiple initiatives simultaneously
  • Work successfully in a team environment using Agile Scrum methodologies
  • Willing to suggest improvements along with offering possible solutions

TAB Bank Offers:

  • Onsite Gym
  • Tuition Reimbursement
  • Paid Holidays
  • Gym Reimbursement
  • College Scholarships for Employees and Families
  • 401(k)
  • Paid Time Off (PTO)
  • Employee Assistance Program (EAP)
  • I Made the Grade
  • Holiday Club Program
  • Medical, Dental, Vision, Life and AD&D, Voluntary Disability, Flex Spending & Dependent Care

TAB Bank will not sponsor applicants for work visas.