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Bank Python Jobs in Lithonia, GA (NOW HIRING)

... banking infrastructure. Key Responsibilities: * Lead DNS, DHCP, IPAM architecture design and ... Implement automation using WAPI (REST), Python, Ansible, Terraform (IaC) * Integrate DDI with CI/CD ...

Banking * Databricks * ETL * Microsoft SQL Server * Python What you can expect from us: Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork ...

Java Full Stack Developer

Atlanta, GA ยท 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 ...

Automation using ansible, python, Perl scripting * Setup & securing new Application instances ... Experience in Banking & Financial domain * Has worked in an Agile / Sprint development model.

Showing results 41-60

Bank Python information

See Lithonia, GA salary details

$12

$53

$78

How much do bank python jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for bank python in Lithonia, GA is $53.52, according to ZipRecruiter salary data. Most workers in this role earn between $44.13 and $60.77 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 job categories do people searching Bank Python jobs in Lithonia, GA look for?

The top searched job categories for Bank Python jobs in Lithonia, GA are:

What cities near Lithonia, GA are hiring for Bank Python jobs?

Cities near Lithonia, GA with the most Bank Python job openings:

Infoblox DDI Engineer

Atlanta, GA โ€ข On-site

Contractor

Re-posted 17 days ago


Job description

Infoblox DDI Engineer               

Role Details: Domain: DDI Engineering

Experience: 7+ Years

Location: Charlotte, North Carolina / Atlanta, Georgia

Overview: Hiring a Senior Infoblox DDI Engineer to lead enterprise DNS, DHCP, and IPAM services, driving automation, security, and large-scale transformation initiatives within a mission-critical banking infrastructure.

Key Responsibilities:

• Lead DNS, DHCP, IPAM architecture design and lifecycle management (Infoblox NIOS/Grid)

• Design DNSSEC, RPZ, split-horizon, and dual-stack (IPv4/IPv6) architectures

• Architect DHCP failover, scope design, and IPAM governance frameworks

• Drive Microsoft DNS/DHCP to Infoblox migration and IPAM modernization

• Implement automation using WAPI (REST), Python, Ansible, Terraform (IaC)

• Integrate DDI with CI/CD, ServiceNow, and platform engineering tools

• Lead troubleshooting (DNS resolution, propagation, DHCP conflicts, performance)

• Collaborate with F5, network, and security teams for DNS/GSLB and threat integration

• Establish standards, governance, monitoring, and compliance frameworks

• Provide technical leadership, mentoring, and incident management

Must-Have Skills:

• Infoblox NIOS/Grid (DNS, DHCP, IPAM – enterprise scale)

• DNS expertise: DNSSEC, RPZ, recursion, caching, propagation

• DHCP: failover, lease optimization, policies

• Infoblox WAPI (REST APIs) and automation frameworks

• Python / Ansible / Terraform (Infrastructure-as-Code)

• IPv4/IPv6 addressing, subnetting, and IPAM strategy

• Advanced troubleshooting in mission-critical environments