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Remote Data Engineering Apprenticeship Jobs in Reston, VA

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related ...

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · On-site +1

$131K - $158K/yr

Area / Remote Employment Type: Full-Time About SERVISS At SERVISS, we deliver cutting-edge ... The Work This is a hands-on engineering role. The selected candidate will: * Build, configure, and ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0247120 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Senior Data Engineer

VA · Remote

$150K - $180K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

Showing results 21-40

Remote Data Engineering Apprenticeship information

What is a remote data engineering apprenticeship?

A Remote Data Engineering Apprenticeship is a structured training program where individuals learn the fundamentals of data engineering while working remotely. Apprentices typically gain hands-on experience with data pipelines, databases, and tools such as SQL, Python, and cloud services under the supervision of experienced mentors. The goal is to prepare apprentices for a full-time role as a data engineer by exposing them to real-world projects and industry best practices. This type of apprenticeship is ideal for those looking to start a career in data engineering while benefiting from the flexibility of remote work.

What skills and qualifications are needed to thrive as a remote data engineering apprentice?

To excel as a Remote Data Engineering Apprentice, you need a foundational understanding of programming (especially Python or SQL), data modeling, and database management, typically supported by relevant coursework or a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Google Cloud), ETL tools, and version control systems (such as Git) is often required, and certifications in these areas can be beneficial. Strong problem-solving, communication, and self-motivation are vital soft skills for collaborating virtually and adapting to new challenges. These skills ensure you can effectively contribute to data projects, learn quickly in a remote environment, and support team goals in a rapidly evolving field.

What are common challenges faced by remote data engineering apprentices, and how can they be managed?

Remote data engineering apprentices often encounter challenges such as limited face-to-face mentorship, managing time zones, and ensuring strong communication with team members. To overcome these, it helps to proactively schedule regular check-ins with mentors, set clear daily goals, and utilize collaboration tools like Slack or Jira. Establishing a dedicated workspace and adhering to a structured routine can also foster productivity and help apprentices stay engaged with their projects and team.

What is the difference between Remote Data Engineering Apprenticeship vs Remote Data Engineer?

AspectRemote Data Engineering ApprenticeshipRemote Data Engineer
Required CredentialsTypically entry-level, often requiring basic programming or data fundamentalsUsually requires a bachelor's degree in computer science, data science, or related field, with experience in data tools
Work EnvironmentTraining-focused, often part-time or structured learning programsFull-time remote role with project responsibilities
Employer & Industry UsageUsed by companies to train new talent; common in tech and data-driven industriesHired as a professional to develop and maintain data pipelines and systems

The Remote Data Engineering Apprenticeship is an entry-level training program designed to develop foundational skills in data engineering, often with mentorship and structured learning. In contrast, a Remote Data Engineer is a full-time professional responsible for building and managing data infrastructure. The apprenticeship prepares individuals for a career in data engineering, while the data engineer role involves applying those skills in real-world projects.

What are the most commonly searched types of Data Engineering Apprenticeship jobs in Reston, VA?

The most popular types of Data Engineering Apprenticeship jobs in Reston, VA are:

What are popular job titles related to Remote Data Engineering Apprenticeship jobs in Reston, VA?

For Remote Data Engineering Apprenticeship jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering Apprenticeship jobs in Reston, VA look for?

The top searched job categories for Remote Data Engineering Apprenticeship jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Data Engineering Apprenticeship jobs?

Cities near Reston, VA with the most Remote Data Engineering Apprenticeship job openings:

Infographic showing various Remote Data Engineering Apprenticeship job openings in Reston, VA as of June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution.

Data Engineer, Mid

Alexandria, VA • On-site, Remote


Booz Allen Hamilton, Inc.
IT Services • 10K+ employees

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants

People enjoy working here

Good employer

Recommended by students


$62K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 2 days ago


Job description


Remote Work:
Hybrid
Job Number:
R0240987
Location:
Alexandria,VA,US
Share job via:
Share
Data Engineer, Mid
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research, to national intelligence.
As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good.
Join us. The world can't wait.
You Have:
  • 3+ years of experience deploying, configuring, and maintaining enterprise software and data systems in secure, air-gapped, or disconnected environments
  • 3+ years of experience building and maintaining ETL or ELT pipelines for structured and unstructured data
  • 2+ years of experience in Python and SQL for data manipulation, automation, and pipeline development
  • Experience with distributed data systems
  • Experience developing RESTful APIs in Python to support data ingestion and integration workflows
  • Knowledge of the Software Development Life Cycle (SDLC), secure deployment practices, and data security controls
  • Ability to work on-site and operate independently in a Sensitive Compartmented Information Facility (SCIF) environment with limited connectivity
  • TS/SCI clearance
  • Bachelor's degree

Nice If You Have:
  • 3+ years of experience building enterprise data engineering solutions in the cloud, including cloud-native technologies from AWS and Azure
  • Experience with relational and non-relational databases such as PostgreSQL, MongoDB, or Elasticsearch, to support deployment and configuration
  • Experience supporting classified data systems for the Department of Defense or Intelligence Community
  • Experience with cross-domain solutions and data transfer guard technologies
  • Experience supporting data lake and data warehouse architectures
  • Experience with data modeling, metadata management, and data quality frameworks
  • Experience with IAM, encryption, and security controls in cloud or on-prem environments
  • Experience with Palantir Foundry or similar enterprise data platforms
  • Knowledge of containerization or container orchestration technologies
  • Possession of excellent verbal and written communication, analytical, and problem-solving skills

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914


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Benefits

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