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Bank Python Jobs in Atlanta, GA (NOW HIRING)

Big Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

... banking, finance, manufacturing, publishing and consumer products. Position: Big Data Architect ... Atlanta, GA, 30305 Must have extensive experience with Hadoop, Spark, and Python! Great ...

Java Developer

Alpharetta, GA · On-site

$49.75 - $64.50/hr

Proficiency in Shell/Unix, Perl/python is required. * Good problem-solving skills, Analytical, Self ... Knowledge of Banking or Financial industry project experience is valuable.

Lead hands-on development (Python /APIs) Core Skills * Strong experience in Generative AI, LLMs ... Exposure to Banking / Financial domain Ideal Candidate: * A hands-on AI lead who can architect ...

Lead hands-on development (Python /APIs) Core Skills * Strong experience in Generative AI, LLMs ... Exposure to Banking / Financial domain Ideal Candidate: * A hands-on AI lead who can architect ...

The ideal candidate must have data science and machine learning foundations with strong Python and ... Core Banking or FinancialWealth management domain working experience required. Good to Have:

Proficiency in Shell/Unix, Perl/Python is required. * Good problem-solving skills, Analytical, self ... Knowledge of the Banking or Financial industry project experience is valuable. * Experience with Co ...

Java Full Stack Developer

Atlanta, GA · On-site

$50.50 - $65.25/hr

... YEARS OF BANKING/FINTECH DOMAIN EXPERIENCE ALONG WITH TIER ONE EXPERIENCE. KINDLY LOOK FOR ... Must have experience with Java and Python * Must have experience with git, unit testing, Dev Ops ...

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Bank Python information

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$12

$56

$82

How much do bank python jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for bank python in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

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 are popular job titles related to Bank Python jobs in Atlanta, GA? For Bank Python jobs in Atlanta, GA, the most frequently searched job titles are:
What cities near Atlanta, GA are hiring for Bank Python jobs? Cities near Atlanta, GA with the most Bank Python job openings:
Principal Innovation Engineer

Principal Innovation Engineer

Huntington National Bank

Atlanta, GA • On-site

Full-time

Posted 6 days ago


Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Job Summary:
Huntington National Bank is seeking a Principal Innovation Engineer to drive complex innovation initiatives by designing and building end-to-end prototypes and reusable technology assets, including AI-enabled applications. This high-impact role involves architecting solutions that transition from concept to product-quality prototypes while ensuring alignment with business goals and technology trends in financial services.
Responsibilities:
• Lead the design and delivery of high-impact innovation solutions aligned with the organization’s business goals and technology trends in financial services
• Architect and build end-to-end prototypes and reusable assets, including AI-enabled applications, APIs, workflow automations, and integrations
• Translate AI innovation concepts (GenAI / agentic patterns) into real applications with enterprise-grade architecture patterns, security, and operational readiness
• Build solutions with a future-proof mindset, laying a solid foundation for development and preventing the need for costly redesigns
• Establish and evolve engineering standards for innovation delivery (reference architectures, reusable templates, code quality, API patterns, integration patterns)
• Partner with other technology teams to align on enterprise architecture, identity / access patterns, data access, compliance needs, and reuse opportunities
• Evaluate emerging technologies and developer tooling (Digital Assets, AI-assisted development, orchestration frameworks, app frameworks, integration approaches) and assess applicability to Huntington’s environment
• Drive technical problem-solving across ambiguous domains; proactively decompose work into deliverable increments and lead execution to complete finished outcomes
• Provide technical mentorship and guidance to engineers, helping improve development velocity, quality, and confidence across the team
• Contribute to innovation reporting by summarizing progress, decisions, tradeoffs, and outcomes in a clear way for senior stakeholders
• Champion a culture of innovation and forward thinking, educating teams about new possibilities and bring an 'art of the possible' mindset to problem-solving
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related technical field
• 10+ years of experience in software engineering, technology architecture, and end-to-end innovative solution delivery
• Expert-level software engineering and application architecture skills with the ability to independently lead complex initiatives from concept to execution
• Demonstrated hands-on experience building applications end-to-end (backend + integration + UI), including APIs and workflow automation solutions
• Demonstrated experience building AI-enabled applications (GenAI, RAG, agentic workflows, model integration, evaluation/guardrails) in a hands-on capacity
• Comfortable operating in a fast-paced, ambiguous environment while managing multiple priorities and driving workplans proactively
Preferred:
• Experience building innovative digital products in a regulated environment (financial services preferred) with strong security and risk-awareness
• Strong API design skills, integration patterns, and experience building services that can be reused across multiple use cases
• Experience with modern cloud platforms and AI services (e.g., Google Cloud / Vertex AI, Gemini, or comparable platforms)
• Experience with modern front-end frameworks and rapid prototyping approaches (e.g., React/Next.js or equivalent), plus strong backend development depth
• Strong hands-on software engineering experience using one or more modern programming languages (e.g., Java, Python, TypeScript/JavaScript, or similar), with the ability to rapidly learn and apply new technologies as needed
• Demonstrated success creating reusable accelerators (templates, libraries, reference implementations) that scale delivery across teams
• Strong communication skills with the ability to explain architecture decisions, tradeoffs, and outcomes to technical and non-technical audiences
• Experience building with a product-centric mindset and ability to iteratively delivery; ability to create momentum while maintaining engineering discipline
Company:
Huntington National Bank offers consumer, small business, and commercial banking, mortgages, wealth, and insurance services. It is a sub-organization of Huntington Distribution Finance. Founded in 1866, the company is headquartered in Columbus, USA, with a team of 10001+ employees. The company is currently Late Stage.

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