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Remote Data Engineering Jobs in Washington (NOW HIRING)

A-TEK Inc.

Senior Data Engineer

Washington, DC · On-site +1

$120.10K - $163.10K/yr

The ideal candidate combines strong hands-on engineering expertise with the ability to collaborate ... This position is remote and requires the ability to obtain and retain a public-trust clearance.

New

GRVTY

Data Engineer with Security Clearance

Chantilly, VA · On-site +1

$118.30K - $142.10K/yr

What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

Requirements: * Degree (or equivalent work experience) in Computer Science, Engineering ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Dexian

Data/ML Ops Engineer

Mclean, VA · Remote

$117.50K - $141.10K/yr

Remote (EST) Summary Seeking a Data / ML Ops Engineer to support the data preparation and AI workflow integration for Clients Product. This role will ensure that AI pipelines are performant, secure ...

GRVTY

Data & Software Engineer

Mclean, VA · On-site +1

$115.70K - $139K/yr

What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129.20K - $155.10K/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

$129.20K - $155.10K/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

$129.20K - $155.10K/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 ...

AVIAN, LLC

Data Engineer

Reston, VA · On-site +1

$119.30K - $143.30K/yr

Computer / Electrical Engineering or related field * Data Science or related quantitative science ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Level Up Llc

Data Engineer

Reston, VA · On-site +1

$119.30K - $143.30K/yr

Computer / Electrical Engineering or related field * Data Science or related quantitative science ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

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Remote Data Engineering information

See Washington salary details

$50.4K

$146.9K

$201K

How much do remote data engineering jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data engineering in Washington is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Washington? The most popular types of Data Engineering jobs in Washington are:
What are popular job titles related to Remote Data Engineering jobs in Washington? For Remote Data Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Washington look for? The top searched job categories for Remote Data Engineering jobs in Washington are:
What cities in Washington are hiring for Remote Data Engineering jobs? Cities in Washington with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Washington as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 80% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data & AI Engineering - Pipeline/Future Roles

Iberia Advisory

Washington, DC • On-site, Remote

$120K - $230K/yr

Full-time

Posted 16 days ago

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