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Remote Data Engineering Apprenticeship Jobs in Washington, DC

Amtrak

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 ...

Amtrak

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 ...

Amtrak

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 ...

Amtrak

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 ...

Serviss

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 ...

Booz Allen Hamilton, Inc.

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 ...

Booz Allen Hamilton, Inc.

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 ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

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 ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

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 ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

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 ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

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 ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

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 ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

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 ...

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All JobsData Engineering Apprenticeship JobsRemote Data Engineering Apprenticeship JobsRemote Data Engineering Apprenticeship Jobs in Washington, DC

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 Washington, DC?

The most popular types of Data Engineering Apprenticeship jobs in Washington, DC are:

What are popular job titles related to Remote Data Engineering Apprenticeship jobs in Washington, DC?

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

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

The top searched job categories for Remote Data Engineering Apprenticeship jobs in Washington, DC are:

Remote Data Engineering Apprenticeship jobs near you
Infographic showing various Remote Data Engineering Apprenticeship job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data & AI Engineering - Pipeline/Future Roles

Iberia Advisory

Washington, DC • On-site, Remote

$120K - $230K/yr

Full-time

Re-posted 26 days ago

Key responsibilities

  • Design and build scalable, production-grade data pipelines using Databricks and PySpark

  • Develop and optimize ETL/ELT workflows, and build data architectures to support AI and analytics initiatives

  • Deliver client-facing data solutions in federal environments and support the deployment of AI/ML capabilities in production systems

Job description

About Iberia Advisory
Iberia Advisory LLC is an award-winning Service-Disabled Veteran-Owned Small Business (SDVOSB) that brings industry veterans with a fresh perspective to stay ahead and thrive in an unpredictable world.
About the Role
This is a pipeline requisition for future and contingent opportunities. Candidates may be aligned to roles based on skillset, level, and program needs
We are actively building a pipeline of Data Professionals to support anticipated work across federal clients, including DoD, DHS, and other mission-critical programs. These roles represent multiple future openings aligned to upcoming contract awards and strategic growth initiatives.
This pipeline focuses on Data Engineering and AI Engineering as primary capabilities, alongside broader support for analytics, data science, and full-stack data development.
Successful candidates will operate in client-facing consulting roles, delivering production-grade solutions while contributing to Iberia's internal data platforms and innovation initiatives.
We are seeking professionals with a builder mentality, strong technical foundations, and the ability to deliver scalable, real-world solutions in fast-paced environments.
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Primary Focus Areas
Data Engineering (Databricks / PySpark)
AI Engineering (GenAI / NLP)
  • Design and build scalable, production-grade data pipelines
  • Develop and optimize ETL/ELT workflows using PySpark
  • Build data architectures using Databricks and modern data platforms
  • Integrate structured and unstructured data across distributed environments
  • Ensure performance, reliability, and scalability of data systems
  • Design and implement GenAI-powered solutions (LLMs, embeddings, prompt orchestration)
  • Develop NLP pipelines and text-based data processing systems
  • Integrate AI/ML capabilities into production data environments
  • Evaluate model performance, scalability, and reliability
  • Support deployment of AI solutions in mission-critical environments

Analytics & Data Science
Full-Stack Data Development
  • Develop analytical models, forecasts, and statistical analyses
  • Build reusable datasets and semantic layers
  • Translate complex data into decision-support insights
  • Apply tools like Python/R for modeling and analysis
  • Build data-driven applications, APIs, and backend services
  • Integrate data pipelines into production systems
  • Support system design, orchestration, and automation
  • Contribute to end-to-end solution delivery

What You'll Do
  • Deliver client-facing data solutions in federal environments
  • Translate business needs into production-grade technical systems
  • Operate in Agile teams and support full delivery lifecycle
  • Develop audit-ready documentation, SOPs, and technical artifacts
  • Contribute to Iberia's internal platforms, accelerators, and innovation

Job Requirements
  • U.S. Citizenship required
  • Ability to obtain/maintain a federal clearance
  • Strong experience with Databricks and/or PySpark preferred
  • Strong proficiency in Python and SQL
  • Experience in data engineering, AI/ML, analytics, or software development roles
  • Strong problem-solving skills and technical execution ability
  • Ability to operate effectively in client-facing consulting environments
  • Experience supporting federal or regulated environments

Preferred Knowledge, Skills, & Abilities
  • Experience with NLP, LLMs, or advanced analytics
  • Experience with cloud environments (Azure, AWS, GCP)
  • API development and system integration
  • Familiarity with data governance, auditability, and secure data handling

What Matters Most
  • Strong ownership mentality and builder mindset
  • Ability to deliver production-quality systems at scale
  • Comfort working in fast-growing, high-autonomy environments
  • Effective collaboration with both technical and non-technical stakeholders
  • Commitment to technical excellence and continuous improvement

What You Can Expect from Us
  • Competitive compensation and performance incentives
  • Flexibility through hybrid delivery and innovation initiatives
  • Opportunity to support mission-critical federal programs
  • A fast-growing, high-ownership environment
  • Exposure to advanced data, tools, and AI challenges
  • Opportunities to contribute to internal innovation and capability building
  • A community of growth-minded colleagues and opportunities for professional growth and development, including 1:1 professional coaching.
  • The chance to be a part of a Growth-Focused company that is making a real impact.

The pay range for this role is:
120,000 - 230,000 USD per year (Remote)

Apply