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Engineer Manager Jobs in Slidell, LA (NOW HIRING)

Entergy

Mgr, Region Engineering

New Orleans, LA · On-site

Job Title: Mgr, Region Engineering Work Place Flexibility: Onsite Legal Entity: Entergy Services, LLC JOB SUMMARY/PURPOSE Provides oversight and management of field engineering services within a ...

Entergy

Mgr, Region Engineering

New Orleans, LA

Job Title: Mgr, Region Engineering Work Place Flexibility: Onsite Legal Entity: Entergy Services, LLC JOB SUMMARY/PURPOSE Provides oversight and management of field engineering services within a ...

Pwc

Engineering Manager- Technical Program Manager

New Orleans, LA · On-site

$123K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Software Engineering Management Level Manager & Summary ... Those in software engineering at PwC will focus on developing innovative software solutions to ...

Pwc

CTIO AI Engineering Manager

New Orleans, LA · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Freeport McMoRan

Manager Engineering - Electrical

New Orleans, LA

$138K - $193K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manage the Electrical engineering design team ensuring consistent application of codes, standards, and best practices across projects. Develop and implement fit-for-purpose solutions for a wide range ...

Betz & Associates

Be Seen First

Engineering Manager - Heavy Industrial Facilities

New Orleans, LA · Remote

$175K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Senior Professional Engineer (Structural or Mechanical) with 10+ years of heavy ... Supervise, mentor, and direct internal design staff; oversee and manage retained engineering ...

Sonesta International Hotels

Engineer

New Orleans, LA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ability to work with computerized energy management systems * Good communication skills and ability to have good judgment * May be required to perform other duties as required by engineering ...

Pwc

US Tech - AI Engineering Manager

New Orleans, LA · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques ...

ILSI Engineering

Project Engineer

New Orleans, LA · On-site

$150K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Company Overview Integrated Logistical Support Inc. (ILSI Engineering) is a New Orleans-based Civil Engineering and Construction Management firm with over 31 years of experience. As a 100% minority ...

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Showing results 21-40

All JobsEngineer JobsEngineer Manager JobsEngineer Manager Jobs in Slidell, LA

Engineer Manager information

See Slidell, LA salary details

$40.3K

$127.3K

$150.8K

How much do engineer manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for engineer manager in Slidell, LA is $127,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $149,900.00 per year, depending on experience, location, and employer.

What is an engineering manager?

An Engineering Manager is a professional who oversees engineering teams, guiding them to achieve project goals and company objectives. They are responsible for managing people, processes, and resources, ensuring that engineering projects are completed on time and within budget. Engineering Managers also collaborate with other departments, mentor team members, and help develop technical strategies. Their role bridges the gap between technical engineering tasks and organizational leadership.

How does an engineer manager typically support professional development within their team?

Engineer Managers play a key role in fostering the growth of their team members by providing regular feedback, identifying learning opportunities, and encouraging participation in training or mentorship programs. They often help engineers set clear career goals, guide them through skill development, and advocate for their advancement within the organization. By promoting a culture of continuous improvement and collaboration, Engineer Managers help team members stay motivated and aligned with both personal and company objectives.

What are the key skills and qualifications needed to thrive as an engineering manager, and why are they important?

To excel as an Engineering Manager, you need a strong technical background in engineering principles, project management experience, and often a relevant degree such as in engineering or computer science. Familiarity with project management tools (like Jira or Asana), version control systems (such as Git), and possibly certifications like PMP or Agile Scrum Master are typically required. Exceptional leadership, communication, and conflict-resolution skills help you motivate teams and manage stakeholders effectively. These competencies are crucial for delivering successful projects, fostering a productive team environment, and driving organizational goals.

What is the difference between Engineer Manager vs Software Engineer?

AspectEngineer ManagerSoftware Engineer
CredentialsBachelor's or higher in engineering or related field, often with leadership experienceBachelor's or higher in computer science, software engineering, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops software, writes code, tests applications
Employer & Industry UsageTech companies, engineering firms, startupsTech companies, software firms, IT departments

Engineer Managers oversee engineering teams, manage projects, and coordinate resources, while Software Engineers focus on designing, coding, and testing software. Both roles require technical skills, but Engineer Managers also handle leadership and strategic planning.

Are engineering managers paid well?

Engineering managers typically earn high salaries due to their leadership responsibilities, technical expertise, and experience level. Compensation varies by industry, location, and company size but generally includes base pay, bonuses, and stock options, reflecting the seniority of the role.

How much do you make as an engineering manager?

Engineering managers typically earn a median annual salary ranging from $120,000 to $180,000, depending on experience, industry, and location. They often oversee engineering teams, manage projects, and require strong leadership and technical skills, with some roles offering additional bonuses or stock options.

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

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

What are popular job titles related to Engineer Manager jobs in Slidell, LA?

For Engineer Manager jobs in Slidell, LA, the most frequently searched job titles are:

What cities near Slidell, LA are hiring for Engineer Manager jobs?

Cities near Slidell, LA with the most Engineer Manager job openings:

Engineer Manager jobs near you
Infographic showing various Engineer Manager job openings in Slidell, LA as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $127,272 per year, or $61.2 per hour.

Cyber Identity - FDE Engineering Manager

Deloitte

New Orleans, LA

Full-time

Re-posted 29 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 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:

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