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Data Engineer Entry Level Jobs in Silver Spring, MD

Pwc

AI Engineer

Washington, DC · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AMT Engineering

Entry Level Civil Engineer

Rockville, MD · On-site +1

... Entry Level Site / Civil Engineer to join our growing Site and Infrastructure team of design ... If you would like more information about how your data is processed, please contact us. apply for ...

Sargent & Lundy

Entry Level Civil Engineer

Elkridge, MD · On-site

$62K - $90K/yr

Description This entry-level position will offer you the opportunity to utilize and expand your ... You are expected to take engineering problems from issue to solution using data and modern tools ...

Sargent & Lundy

Entry Level Civil Engineer

Elkridge, MD · On-site

$62K - $90K/yr

This entry-level position will offer you the opportunity to utilize and expand your civil ... You are expected to take engineering problems from issue to solution using data and modern tools ...

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All JobsData Engineer JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Silver Spring, MD

Data Engineer Entry Level information

See Silver Spring, MD salary details

$46K

$134.1K

$183.5K

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

As of Aug 6, 2026, the average yearly pay for data engineer entry level in Silver Spring, MD is $134,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $142,100.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

Can I get a data engineer entry level job with no experience?

Entry-level data engineering positions typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data tools and platforms such as Hadoop or Spark. While prior work experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level role.

What are the key skills and qualifications needed to thrive as an entry level data engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What does a data engineer entry level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Silver Spring, MD? The most popular types of Data Engineer jobs in Silver Spring, MD are:
What are popular job titles related to Data Engineer Entry Level jobs in Silver Spring, MD? For Data Engineer Entry Level jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Engineer Entry Level jobs in Silver Spring, MD look for? The top searched job categories for Data Engineer Entry Level jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Engineer Entry Level jobs? Cities near Silver Spring, MD with the most Data Engineer Entry Level job openings:
Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $134,098 per year, or $64.5 per hour.

Associate Cloud AI Engineer - TS/SCI clearance - Travel

PGTEK

Washington, DC • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Associate Cloud AI Engineer (Entry Level)
Location: Various U.S. Federal Client Sites (Onsite)
Travel: Travel required to customer sites throughout the Continental U.S.
Salary: $80,000 - $100,000
Clearance: Active TS/SCI or the ability to obtain a TS/SCI clearance required
About PGTEK
PGTEK is a leading provider of enterprise IT modernization, cloud transformation, and AI solutions supporting U.S. Federal Government agencies. As we continue expanding our Google Cloud and AI practice, we're seeking motivated engineers who want to build their careers deploying next-generation cloud and AI technologies in secure government environments.
This is an excellent opportunity for early-career cloud professionals, recent graduates, military veterans, and PGTEK Academy candidates looking to gain hands-on experience with Google Cloud Platform (GCP), enterprise AI, and federal cloud modernization projects.
Position Summary
As an Associate Cloud AI Engineer, you'll work alongside Senior and Lead Cloud AI Engineers to help deploy, secure, and support Google Cloud environments for federal customers. You'll participate in cloud migrations, infrastructure deployments, automation initiatives, and AI platform implementations while developing expertise in Google Cloud technologies and federal security best practices.
This role offers significant mentorship and professional growth opportunities as you build toward becoming a Cloud AI Engineer and ultimately a Cloud Architect.
Responsibilities
  • Assist with deploying and configuring Google Cloud Platform (GCP) environments
  • Configure resource hierarchies, IAM roles, Cloud Identity, and organizational policies
  • Support Google Cloud Assured Workloads implementations
  • Deploy and manage Compute Engine virtual machines, Google Kubernetes Engine (GKE), Cloud Run, and enterprise AI services
  • Configure cloud networking including VPCs, subnets, firewall rules, and network security policies
  • Assist with Google Cloud storage, databases, and data services including:
    • Cloud Storage
    • Cloud SQL
    • BigQuery
    • Spanner
    • Pub/Sub
    • Dataflow
  • Support Infrastructure as Code (IaC) deployments using Terraform, Config Connector, and Helm
  • Utilize Google AI-assisted tools including Gemini CLI and Gemini Cloud Assist
  • Monitor cloud environments using Cloud Monitoring, Cloud Logging, Cloud Trace, and Cloud Profiler
  • Assist with identity, access management, encryption, and least-privilege security implementations
  • Support compliance documentation and evidence collection for FedRAMP and DoD environments
  • Collaborate with senior engineers throughout cloud migration and modernization projects
  • Continuously expand Google Cloud knowledge through certifications, mentoring, and hands-on experience

Requirements
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or another STEM-related field (or equivalent practical experience)
  • 0-2 years of experience supporting cloud infrastructure or enterprise IT environments
  • Basic understanding of cloud computing concepts
  • Familiarity with Linux and networking fundamentals
  • Experience using command-line tools and scripting is a plus
  • Strong troubleshooting and analytical skills
  • Excellent communication and willingness to learn
  • Ability to work collaboratively in a fast-paced team environment
Preferred Qualifications
Experience or exposure to any of the following is a plus:
  • Google Cloud Platform (GCP)
  • Kubernetes
  • Docker or container technologies
  • Terraform or Infrastructure as Code
  • Git and CI/CD pipelines
  • Cloud networking
  • Python, Bash, or PowerShell scripting
  • AI or machine learning concepts
  • Legacy-to-cloud migration projects
Required Certifications
  • Google Cloud Certified - Associate Cloud Engineer (ACE) (Required at hire or within the first 90 days of employment)
  • Google Cloud Certified - Professional Cloud Architect (PCA) (Preferred or active pursuit encouraged)
Security Clearance
  • Active TS/SCI clearance or eligibility to obtain a TS/SCI clearance is required.

Benefits
Our comprehensive benefits package for full-time salaried employees is effective immediately upon the start date. Benefits include comprehensive PPO medical coverage with access to a Health Savings Account (HSA) option, a vision plan, and dental insurance with the base dental plan option paid for by PGTEK. Life Insurance, Short and Long-Term disability, and Critical Illness insurance have premiums covered. Additionally, PGTEK offers a matching 401(k) plan and a discount on pet insurance through ASPCA Pet Insurance. An Employee Assistance Program is available at no cost to all employees. PGTEK offers a generous amount of PTO and Holidays, and an Education Assistance Program is available after 12 months of employment.
ABOUT PGTEK
PGTEK is a true consulting organization dedicated to helping clients achieve their business and technology objectives utilizing our decades of experience and business relationships. PGTEK invests in the educational advancements of our staff by providing the necessary resources to complete Professional and Business Certifications. Our company is our people, and we treat them like family.
EOE, including disability/veterans

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