ZipRecruiter

Log In

1

Python Coding Jobs in Slidell, LA (NOW HIRING)

Laitram

Entry Level Controls Engineer

New Orleans, LA · On-site

$80K - $103K/yr

... Code (NEC) • Experience using SolidWorks, Pro/ENGINEER (Creo), or equivalent 3D CAD software • Experience with scripting (e.g., Python, PowerShell) or automation tools • Experience with SQL ...

Entergy

Tech- GIS I, II- SR

New Orleans, LA

Possess skills in computer programming (Python, SQL), imaging and multimedia. Have solid background ... No Relocation Offered Union description/code : Number of Openings : 1 Req ID: 123747 Travel ...

Pwc

AI Solutions Engineering Delivery Lead

New Orleans, LA · On-site

$98K - $129K/yr

... Firm's code of conduct, and independence requirements. The Opportunity : The AI Solutions ... Python, Pandas, Scikit-learn, PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and ...

previous page

Showing results 41-60

All JobsPython Coding JobsPython Coding Jobs in Slidell, LA

Python Coding information

See Slidell, LA salary details

$11

$50

$74

How much do python coding jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for python coding in Slidell, LA is $50.80, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $57.69 per hour, depending on experience, location, and employer.

What is python coding?

A Python Coding job involves writing, testing, and maintaining software applications using the Python programming language. Professionals in this role may work in web development, data analysis, automation, artificial intelligence, or backend development. They often collaborate with teams to design algorithms, optimize code, and ensure software functionality. Strong problem-solving skills and knowledge of Python libraries and frameworks are essential for success in this role.

What does someone working in python coding do?

Professionals in Python Coding roles often spend their days writing, testing, and debugging code as part of software development projects, collaborating closely with team members such as developers, project managers, or data analysts. They may also review code written by peers, contribute to code documentation, and participate in team meetings to discuss project goals or troubleshoot issues. Some positions involve working on back-end systems, automating tasks, or supporting data operations depending on the organization's focus. The role offers a mix of independent problem-solving and teamwork, making adaptability and strong communication valuable assets.

What are the key skills and qualifications needed to thrive in python coding?

To thrive in Python Coding roles, you need a solid understanding of Python programming, problem-solving skills, and experience with common frameworks and libraries such as Django or Pandas. Familiarity with version control systems (like Git), integrated development environments (IDEs), and sometimes professional certifications like PCEP or PCAP are often advantageous. Strong analytical thinking, adaptability, and effective communication skills help individuals excel in collaborative projects and diverse development environments. These abilities are vital to deliver reliable code, work effectively in teams, and quickly adapt to evolving project requirements.

Are Python coders in demand?

Python coders are in high demand across many industries due to the language's versatility in web development, data analysis, machine learning, and automation. Employers seek professionals with strong programming skills, knowledge of frameworks like Django or Flask, and experience with data tools such as Pandas or NumPy. The demand is expected to grow as Python remains a key language in technology and data-driven fields.

Is Python coding a good career?

Python coding is a valuable skill in the tech industry, with demand across fields such as data analysis, web development, and automation. Python developers often have opportunities for high-paying roles, especially with experience and knowledge of frameworks like Django or data libraries like Pandas. Continuous learning and proficiency with tools like Git can enhance career prospects in Python programming.

What jobs can I get with Python coding?

Python coding skills can qualify you for roles such as software developer, data analyst, data scientist, machine learning engineer, automation engineer, and backend web developer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with data analysis libraries such as Pandas and NumPy.

What are the most commonly searched types of Python Coding jobs in Slidell, LA?

The most popular types of Python Coding jobs in Slidell, LA are:

What cities near Slidell, LA are hiring for Python Coding jobs?

Cities near Slidell, LA with the most Python Coding job openings:

Python Coding jobs near you
Infographic showing various Python Coding job openings in Slidell, LA as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $105,664 per year, or $50.8 per hour.

Cyber Identity - FDE Engineering Manager

Deloitte

New Orleans, LA

Full-time

Re-posted 17 days ago

Key responsibilities

  • Lead the design, integration, deployment, and operation of AI-enabled identity, access, and data protection solutions, troubleshooting technical issues as needed.

  • Translate client business needs and privacy requirements into target architecture and technical solutions, shaping demonstrations, proofs of concept, and effort estimates.

  • Manage client delivery by overseeing scope, timelines, quality, and customer satisfaction, while building team and client capability through documentation, accelerators, and best practices.

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services

Job description

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Qualifications:

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply