2

No Experience Data Engineer Jobs in Silver Spring, MD

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

We are seeking an experienced Data Engineer to join our team supporting Capital One. The ideal candidate will have a strong background in building scalable data pipelines, modern cloud data platforms ...

Data Engineer II

Arlington, VA

$131K - $158K/yr

Glider - Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the ... Work Schedule Monday - Friday 9:00 AM - 5:00 PM ET Hybrid schedule (3 days onsite per week) No ...

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Glider - Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the ... Work Schedule Monday - Friday 9:00 AM - 5:00 PM ET Hybrid schedule (3 days onsite per week) No ...

Data Engineer II (Remote)

Arlington, VA · Remote

$117K - $140K/yr

Glider Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the ... Work Schedule Monday Friday 9:00 AM 5:00 PM ET Hybrid schedule (3 days onsite per week) No travel ...

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

No Job Number: R0236780 Location: McLean,VA,US Share job via: Share Additional Locations ... We need an experienced data engineer like you to help our clients find answers in their big data to ...

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

No Job Number: R0229813 Location: McLean,VA,US Share job via: Share Additional Locations ... We need an experienced data engineer like you to help our clients find answers in their big data to ...

Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery ... We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range ...

Data Engineer

Washington, DC · On-site

$93K - $176K/yr

Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery ... We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range ...

Mid Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence. As a ...

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence. As a ...

Mid Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence. As a ...

We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence. As a ...

Data Engineer

Washington, DC

$129K - $155K/yr

Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence. As a ...

We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence. As a ...

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence. As a ...

We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence. As a ...

Data Engineer

Alexandria, VA · On-site

$62K - $141K/yr

No Job Number: R0244560 Location: McLean,VA,US Share job via: Share Additional Locations ... As a data engineer at Booz Allen, you'll use your skills and experience to help build advanced ...

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Experience in GCP or Azure is also highly valued. * Database & Querying Skills : Extract, integrate ... We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range ...

Data Engineer

Suitland, MD

$123K - $148K/yr

Experience in GCP or Azure is also highly valued. * Database & Querying Skills : Extract, integrate ... We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range ...

next page

Showing results 1-20

No Experience Data Engineer information

See Silver Spring, MD salary details

$46K

$134.1K

$183.5K

How much do no experience data engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for no experience data engineer 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 is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

What is a no experience data engineer?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

How can entry-level data engineers quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

What skills and qualifications are needed to thrive as a no experience data engineer?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.
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 No Experience Data Engineer jobs in Silver Spring, MD? For No Experience Data Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching No Experience Data Engineer jobs in Silver Spring, MD look for? The top searched job categories for No Experience Data Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for No Experience Data Engineer jobs? Cities near Silver Spring, MD with the most No Experience Data Engineer job openings:
Infographic showing various No Experience Data Engineer job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $127,626 per year, or $61.4 per hour.

Data Engineer

IT America Inc

Mclean, VA • On-site

$115K - $139K/yr

Contractor

Re-posted 15 days ago


Job description

Position: Data Engineer

Location: Mclean, VA

Duration: Long term contract
Note: Looking for Ex-Capital One Employee / Contractor

About the Role:

We are seeking an experienced Data Engineer to join our team supporting Capital One. The ideal candidate will have a strong background in building scalable data pipelines, modern cloud data platforms, and working with large-scale financial data. This role involves working closely with Capital One’s data, analytics, and technology teams to design, implement, and optimize data solutions that enable advanced analytics and business insights.

Key Responsibilities:

  • Design, develop, and maintain robust, scalable, and secure data pipelines for Capital One applications.
  • Work with structured and unstructured data across cloud and on-premises environments.
  • Implement data ingestion, transformation, and integration processes using modern ETL/ELT frameworks.
  • Collaborate with data scientists, analysts, and product teams to enable data-driven decision-making.
  • Ensure data quality, governance, and compliance with Capital One and regulatory standards.
  • Optimize performance of large-scale data pipelines and storage solutions.
  • Work in Agile teams, following CI/CD and DevOps best practices.

Required Skills & Experience:

  • Strong experience in Data Engineering with hands-on development of ETL/ELT workflows.
  • Expertise in Python, SQL, and Spark (PySpark/Scala).
  • Proficiency in AWS Cloud Services (S3, Redshift, EMR, Glue, Lambda, etc.).
  • Experience with Snowflake or other cloud-based data warehouses.
  • Knowledge of data modeling, data lakes, and data warehouse design.
  • Experience with Airflow, DBT, or similar orchestration tools.
  • Strong understanding of CI/CD pipelines, Git, and DevOps practices.
  • Prior exposure to financial services, banking, or credit domain is highly desirable.

Nice-to-Have Skills:

  • Experience with Capital One-specific data platforms and tooling.
  • Exposure to real-time streaming technologies (Kafka, Kinesis).
  • Familiarity with machine learning pipelines.
  • Strong problem-solving and communication skills.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.