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Remote Data Engineering Jobs in Washington, DC (NOW HIRING)

Senior Data Engineer

Arlington, VA ยท On-site +1

$135K - $205K/yr

Design modern, code-first data engineering solutions utilizing Python SDKs, REST APIs, CLI tools ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

Senior Data Engineer

Arlington, VA ยท On-site +1

$135K - $205K/yr

Design modern, code-first data engineering solutions utilizing Python SDKs, REST APIs, CLI tools ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

Data Engineer, Web Scraping

Washington, DC ยท 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

Data & AI Engineer - 90408785 - Remote

Washington, DC ยท 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 ยท 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 ยท 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 ยท 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 & Software Engineer

Mclean, VA ยท On-site +1

$150K - $250K/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)

Data Engineer

Reston, VA ยท On-site +1

$119K - $143K/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 ...

Data Engineer

Reston, VA ยท On-site +1

$119K - $143K/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 ...

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 ...

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Remote Data Engineering information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do remote data engineering jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote data engineering in Washington, DC 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.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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.

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.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 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. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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, DC? The most popular types of Data Engineering jobs in Washington, DC are:
What job categories do people searching Remote Data Engineering jobs in Washington, DC look for? The top searched job categories for Remote Data Engineering jobs in Washington, DC are:
Senior Data Engineer

Senior Data Engineer

Ardent Eagle Solutions

Arlington, VA โ€ข On-site, Remote

$135K - $205K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Overview

Ardent Eagle Solutions (AES) is seeking an experienced Senior Data Engineer to support the Small Business Administration (SBA), Office of Inspector General (OIG), Technology Solutions Division. This position is responsible for designing, implementing, and maintaining modern Azure-based cloud data architecture supporting fraud analytics, machine learning, and investigative operations. The successful candidate will develop scalable ELT/ETL pipelines, optimize cloud data environments, and build sustainable architecture supporting advanced analytics initiatives.

Background

The Office of the Inspector General (OIG) is an independent and objective oversight office created by the Inspector General Act of 1978, as amended. The Small Business Administration (SBA) OIG provides auditing, investigative, and other oversight services to support and assist SBA in achieving its statutory mission to maintain and strengthen the Nation's economy by protecting the interests of and assisting small businesses and helping families and businesses to recover from disasters. OIG utilizes large volumes of data to perform its auditing and investigative mission sourced from within SBA, other federal agencies, and the private sector. To facilitate the work of OIG audits and investigations, OIG has created the Technology Solutions Division (TSD).

Responsibilities
  • Design, develop, implement, and maintain secure, scalable Azure-based data architecture.
  • Develop and maintain cloud-native ELT/ETL pipelines utilizing Azure Synapse Analytics and Azure Machine Learning.
  • Design modern, code-first data engineering solutions utilizing Python SDKs, REST APIs, CLI tools, and Infrastructure-as-Code methodologies.
  • Build, optimize, and maintain cloud data lakes and warehouse environments.
  • Implement robust error handling, logging, validation, and monitoring across production data pipelines.
  • Manage source control and CI/CD practices supporting data engineering assets.
  • Optimize ingestion, processing, transformation, and storage of structured and unstructured datasets including Parquet and related formats.
  • Develop reusable Python-based data engineering solutions utilizing Pandas and modern data processing frameworks.
  • Create self-service capabilities supporting analyst access to enterprise datasets.
  • Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning workloads.
  • Develop data dictionaries, entity relationship diagrams, pipeline documentation, and standard operating procedures.
  • Expand cloud environments through onboarding of new datasets and services.
  • Evaluate emerging AI-assisted development tools and data engineering technologies.
  • Recommend architectural improvements that improve scalability, reliability, security, and cost efficiency.
QualificationsMinimum Qualifications

Candidates must possess:

  • Five (5)+ years administering SQL databases and performing advanced SQL/T-SQL development.
  • Five (5)+ years designing, implementing, and maintaining cloud-based ELT/ETL solutions.
  • Three (3)+ years utilizing Microsoft Azure Synapse Analytics and Azure Machine Learning.
  • Three (3)+ years developing Python-based data engineering solutions utilizing Pandas.
  • Experience designing modern cloud-based data architectures.
  • Experience implementing scalable data pipelines supporting machine learning workloads.
Preferred Qualifications
  • Experience utilizing PySpark or Polars.
  • Experience implementing Infrastructure-as-Code.
  • Experience developing reusable modular Python code.
  • Experience with Azure Data Lake Storage.
  • Experience implementing CI/CD pipelines.
  • Experience utilizing Git source control.
  • Experience with REST APIs and Azure SDKs.
  • Experience with AI coding assistants and Large Language Model integration.
  • Experience supporting federal agencies or Inspector General organizations.
Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related technical discipline.

Equivalent professional experience may be considered where applicab

Certification(s)Preferred Certifications
  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Microsoft Certified: Azure Administrator Associate
Compensation

$135,000 - $205,000 annually

Actual compensation will be determined by experience, qualifications, location, and contract award.

Location and Work Hours
  • 100% Remote (United States)
  • Standard operating hours between 6:00 AM and 6:00 PM local time, Monday through Friday.
  • Telework is authorized.
  • U.S. Citizenship required.
  • Ability to successfully obtain and maintain a Public Trust determination.
Benefits and EEO

At Ardent Eagle Solutions, we offer a comprehensive benefits package to our employees and their families:

  • Medical/Dental/Vision Coverage
  • Matching 401(k) Plan
  • Continuing Education Assistance
  • Paid Time Off

This job description is intended to describe the general scope of work and level of work that is needed to perform while on task with Ardent Eagle Solutions. Other duties may be assigned.ย Selected candidates may undergo a government security investigation and must fulfill eligibility criteria for accessing classified information. US citizenship may be a prerequisite for certain roles.

Ardent Eagle Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to disability or protected veteran status.

Qualifications:Public TrustEmployment Type: OTHER