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Access Engineering Jobs in Colorado (NOW HIRING)

Citrine LLC

Electrical Engineering Manager

Lakewood, CO · On-site

$140K - $155K/yr

We are seeking an experienced Electrical Engineering Manager to lead our electrical engineering and ... Background Check and Site Access * Candidate must successfully pass a background check, which may ...

Riva

Access Control Technician

Denver, CO

$30 - $40/hr

... programming, commissioning, functional testing, and closeout activities based on experience and ... Access control platforms such as LenelS2, Genetec, Software House CCURE, AMAG, Avigilon ACM, Brivo ...

ESP Associates

2027 Summer Intern - Engineering

Denver, CO · On-site

$16.75 - $21.75/hr

Access to our intranet, which houses exclusive photos and information from allservice lines ... All Civil/Environmental Engineering, Construction Engineering, Electrical Engineering, and ...

Auberge Collection

Engineering Manager

Telluride, CO · On-site

$65K - $70K/yr

Madeline pairs unrivaled ski-in/ski-out access with curated amenities, including Crest Club, the ... Working closely with the Chief Engineer and Area Director of Engineering, you'll keep our property ...

Auberge Collection

Engineering Manager

Telluride, CO · On-site

$65K - $70K/yr

Madeline pairs unrivaled ski-in/ski-out access with curated amenities, including Crest Club, the ... Working closely with the Chief Engineer and Area Director of Engineering, you'll keep our property ...

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All JobsAccess Engineering JobsAccess Engineering Jobs in Colorado

Access Engineering information

See Colorado salary details

$18

$50

$87

How much do access engineering jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for access engineering in Colorado is $50.80, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $61.15 per hour, depending on experience, location, and employer.

What is access engineering?

Access engineering refers to the design, implementation, and management of network access systems that connect users to a network's core infrastructure. This role typically involves working with technologies such as fiber optics, wireless networks, and copper cabling to ensure reliable and secure connections for data, voice, and video services. Access engineers are responsible for planning and optimizing the 'last mile' connectivity, troubleshooting network issues, and upgrading infrastructure to support new technologies and increased bandwidth demands.

What are the key skills and qualifications needed to thrive as an access engineer?

To thrive as an Access Engineer, you need a solid background in telecommunications, network design, and a relevant engineering degree. Familiarity with fiber optics, GPON, DSL, and network management systems like NetCracker or OSS/BSS platforms is typically required. Strong analytical thinking, problem-solving, and effective communication skills help you excel in troubleshooting and collaborating with cross-functional teams. These competencies ensure reliable network access solutions, prompt issue resolution, and seamless service delivery for customers.

What are some common challenges faced by access engineers when coordinating with cross-functional teams?

Access Engineers often work closely with planning, operations, and field teams to ensure seamless deployment and maintenance of network infrastructure. A common challenge is aligning project timelines and technical requirements across departments, which can lead to delays or miscommunications if not managed proactively. Effective communication and a strong understanding of both technical and operational perspectives are essential for overcoming these hurdles and ensuring successful project delivery.

What is the difference between Access Engineering vs Civil Engineering?

AspectAccess EngineeringCivil Engineering
Required CredentialsEngineering degree, relevant licenses, specialized training in access systemsEngineering degree, civil engineering license, broader construction certifications
Work EnvironmentAccess control systems, security infrastructure, building access pointsConstruction sites, infrastructure projects, urban development
Industry UsageSecurity, facilities management, commercial buildingsConstruction, transportation, urban planning

Access Engineering focuses on designing and implementing access control systems and security infrastructure, often within buildings and facilities. Civil Engineering covers a broader scope of infrastructure development, including roads, bridges, and buildings. While both roles require engineering credentials, Access Engineering specializes in security and access solutions, whereas Civil Engineering emphasizes large-scale construction and infrastructure projects.

What does an access engineer do?

An access engineer designs, implements, and maintains systems that provide secure and reliable access to networks, data, or facilities. They often work with network infrastructure, security protocols, and access control technologies, requiring knowledge of networking, cybersecurity, and relevant certifications. Their role ensures authorized users can efficiently and safely access resources while preventing unauthorized entry.

What are popular job titles related to Access Engineering jobs in Colorado?

For Access Engineering jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Access Engineering jobs in Colorado look for?

The top searched job categories for Access Engineering jobs in Colorado are:

Access Engineering jobs near you
Infographic showing various Access Engineering job openings in Colorado as of September 2026, with employment types broken down into 1% As Needed, 68% Full Time, 26% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,662 per year, or $50.8 per hour.

Cyber Identity - FDE Engineering Manager

Denver, CO • On-site

Deloitte
Finance and Insurance • 10K+ employees
Learn more about Deloitteexternal

Full-time

Re-posted 24 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

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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