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Entry Level Infrastructure Engineer Jobs in Washington, DC

We are the world's trusted infrastructure consulting firm, partnering with clients to solve the ... AECOM is seeking an Entry Level Geotechnical Engineer to be based in Germantown, MD. This position ...

We are the world's trusted infrastructure consulting firm, partnering with clients to solve the ... AECOM is seeking an Entry Level Geotechnical Engineer to be based in Germantown, MD. This position ...

We are the world's trusted infrastructure consulting firm, partnering with clients to solve the ... AECOM is seeking an Entry Level Geotechnical Engineer to be based in Germantown, MD. This position ...

Entry Level Staff Engineer

Reston, VA · On-site

$70 - $100/hr

... Entry Level Staff/Project Engineer positions to support a myriad of clients and exciting projects ... as infrastructure assets. * Duties vary by project assignment; examples include assisting with ...

... Entry Level Staff/Project Engineer positions to support a myriad of clients and exciting projects ... as infrastructure assets. * Duties vary by project assignment; examples include assisting with ...

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Showing results 1-20

Entry Level Infrastructure Engineer information

See Washington, DC salary details

$52.5K

$143.5K

$205.5K

How much do entry level infrastructure engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for entry level infrastructure engineer in Washington, DC is $143,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $159,200.00 per year, depending on experience, location, and employer.

What does an entry level infrastructure engineer do?

An Entry Level Infrastructure Engineer assists with the setup, maintenance, and troubleshooting of an organization’s IT infrastructure, including servers, networks, and cloud services. They typically work under the supervision of senior engineers, helping to ensure that systems are running efficiently and securely. Their tasks may include hardware and software installation, monitoring networks for issues, and supporting users with technical problems. This role is a great starting point for building skills in IT operations and infrastructure management.

What skills and qualifications are needed to thrive as an entry level infrastructure engineer?

To thrive as an Entry Level Infrastructure Engineer, you generally need a solid understanding of networking, operating systems, and basic scripting, typically supported by a relevant degree or technical certification. Familiarity with tools such as Cisco networking devices, VMware, Linux/Windows server environments, and ticketing systems is commonly required. Strong problem-solving skills, attention to detail, and effective communication help you stand out in troubleshooting and collaborating with teams. These skills are crucial for ensuring reliable IT infrastructure performance and seamless support of organizational operations.

What are typical challenges faced by entry level infrastructure engineers during their first year on the job?

Entry level infrastructure engineers often encounter challenges such as adapting to complex system environments, learning proprietary tools, and understanding legacy infrastructure. They may also need to quickly develop troubleshooting skills to address connectivity or hardware issues under tight deadlines. Collaborating effectively with more experienced engineers and cross-functional teams is key to overcoming these hurdles and building a strong technical foundation.

What is the difference between Entry Level Infrastructure Engineer vs Network Technician?

AspectEntry Level Infrastructure EngineerNetwork Technician
Required CredentialsBachelor's in IT, Computer Science, or related field; certifications like CompTIA Network+High school diploma or associate degree; certifications like CompTIA Network+
Work EnvironmentDesigning, implementing, and maintaining IT infrastructure; often in office or data center settingsInstalling, troubleshooting, and repairing network hardware; on-site or helpdesk environments
Employer & Industry UsageIT companies, large corporations, data centersTelecom, IT support firms, corporate IT departments

While both roles involve networking skills and certifications like CompTIA Network+, Entry Level Infrastructure Engineers focus on broader infrastructure design and implementation, whereas Network Technicians primarily handle hardware setup and troubleshooting.

What are the most commonly searched types of Infrastructure Engineer jobs in Washington, DC?

The most popular types of Infrastructure Engineer jobs in Washington, DC are:

Infographic showing various Entry Level Infrastructure Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $143,862 per year, or $69.2 per hour.

Tax Innovation - AI Engineer - Senior Manager

Pwc

Washington, DC • On-site

$124K - $335K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a Tax Innovation - AI Engineer, you will lead the integration and deployment of artificial intelligence technologies within our Tax practice, enhancing performance and capabilities. As a Senior Manager, you will leverage your skills and professional networks to deliver quality results, acting as a strategic advisor and driving project success. You will be responsible for building trust with multi-level teams and stakeholders, motivating and coaching teams to solve complex problems, and applying sound judgment to develop high-performing, diverse, and inclusive teams.
In this role, you will oversee the design, development, and maintenance of data infrastructure, confirming data quality and integration across various systems. You will also engage in coaching and feedback processes to foster growth and innovation within your team. Your ability to manage data pipelines and model data effectively will be crucial in supporting efficient data management and decision-making. This position offers the opportunity to deepen your skills in AI implementation and machine learning, contributing to the overall success of our firm.
Responsibilities
- Leading the integration and deployment of artificial intelligence technologies to enhance performance and capabilities
- Overseeing the design and maintenance of data infrastructure to support efficient data management and sharing
- Managing data pipelines to validate accurate and timely data movement across systems
- Developing data models to organize and represent data in a structured manner, supporting decision-making processes
- Implementing machine learning and natural language processing techniques to drive innovation in data analytics
- Utilizing Python programming to build and refine data analytics solutions
- Conducting rapid experimentation to test new ideas and improve data-driven strategies
- Providing coaching and feedback to develop team skills and performance in data and analytics engineering
- Collaborating with stakeholders to integrate data from different and multiple sources into a unified view
- Validating data quality to maintain accuracy, consistency, and reliability for informed decision-making
What You Must Have
- At least a Bachelor's degree
- At least 6years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Leading AI implementation projects to enhance performance and capabilities
- Managing data infrastructure to promote data sharing and consumption
- Integrating data from diverse sources into unified views
- Modeling data to support efficient management and integrity
- Utilizing Python for programming and machine learning applications

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $124,000 - $335,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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Benefits

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK