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Remote Data Engineer Jobs in Annapolis, MD (NOW HIRING)

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public Trust Responsibilities * Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public Trust Responsibilities * Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public Trust Responsibilities * Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public Trust Responsibilities * Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public Trust Responsibilities * Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue ...

SMX

Cleared Hybrid Data Engineer (5418)

Hanover, MD · On-site +1

$103K - $171K/yr

SMX is hiring a Data Engineer responsible for designing, building, and maintaining scalable data architecture that powers our AI, analytics and reporting. Collaborate closely with Analysts, AI ...

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 and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

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 and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

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 and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

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 and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

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Showing results 41-60

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Annapolis, MD

Remote Data Engineer information

See Annapolis, MD salary details

$44.1K

$128.4K

$175.7K

How much do remote data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote data engineer in Annapolis, MD is $128,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,100.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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 in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

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

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Annapolis, MD?

The most popular types of Data Engineer jobs in Annapolis, MD are:

What are popular job titles related to Remote Data Engineer jobs in Annapolis, MD?

For Remote Data Engineer jobs in Annapolis, MD, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Annapolis, MD look for?

The top searched job categories for Remote Data Engineer jobs in Annapolis, MD are:

What cities near Annapolis, MD are hiring for Remote Data Engineer jobs?

Cities near Annapolis, MD with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Annapolis, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $128,409 per year, or $61.7 per hour.

Data Engineer - Columbia, MD (Hybrid)

IAMUS Consulting

Columbia, MD • On-site, Remote

$138K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Description
Data Engineer - Mid-Level
IAMUS Consulting | Columbia, MD (Hybrid)
Make an Impact Where It Matters!
IAMUS Consulting is seeking a Senior Data Engineer / Technical Lead to support mission-critical cyber and network operations within the Department of War and Intelligence Community. In this role, you will design, build, and optimize data pipelines that transform complex, high-volume data into actionable intelligence supporting national security efforts.
This is more than a hands-on engineering role-you will also lead technical direction, mentor team members, and help shape the future of data engineering across the program.
What You'll Be Doing
  • Design and scale data ingestion pipelines for large, complex structured and unstructured data sets
  • Integrate new data sources and enhance existing data flows for performance and reliability
  • Lead efforts around data integrity, validation, monitoring, and troubleshooting
  • Support mission partners by enabling timely, accurate, and accessible data for analysis
  • Decompose and solve complex system and dataflow challenges across distributed environments
  • Collaborate with engineers, analysts, and stakeholders across mission teams
  • Provide technical leadership, mentorship, and guidance to junior and other mid-level engineers
  • Drive best practices across ETL development, data modeling, and system architecture

Requirements
Required Qualifications
  • A current U.S. Government Secret Security Clearance is required. U.S. Citizenship required.
  • 9+ years of experience in data engineering, software engineering, or related technical fields and a Bachelors in a related field. (Additional experience may be considered in lieu of a degree)
  • Strong experience designing and building ETL pipelines and data ingestion frameworks
  • Hands-on experience with Kafka, NiFi, and AWS (S3, SQS)
  • Proficiency in Java with experience in unit and integration testing
  • Solid understanding of data formats (JSON, XML, SQL schemas, compressed formats)
  • Experience troubleshooting data pipelines, system performance, and dataflow issues
  • DoD 8570 IAT II certification (or higher)

Preferred Qualifications
  • Familiarity with Python, with experience in unit and integration testing.
  • Experience supporting cyber or network operations environments
  • Familiarity with Agile development environments
  • Experience with Kubernetes, Docker, or containerized deployments
  • Exposure to Apache Airflow
  • Strong documentation and communication skills
  • Experience developing training materials or mentoring team members

Tech Environment
Languages: Java, Python, SQL
Data & Streaming: Kafka, Apache NiFi
Cloud: AWS (S3, SQS, SNS)
Tools: GitLab, Maven, VSCode, IntelliJ
Other: YAML configuration, Linux (Bash), data modeling & ETL frameworks
Work Location
Hybrid - Columbia, MD
Leadership Opportunity
This role includes technical leadership responsibilities, including:
  • Guiding data engineering strategy and architecture decisions
  • Mentoring engineers and promoting best practices
  • Driving innovation across data ingestion, processing, and analytics capabilities
  • Supporting program growth and long-term technical vision

Why IAMUS Consulting?
At IAMUS, we're building a mission-driven, collaborative team supporting critical national security initiatives. We value technical excellence, accountability, and creating an environment where our people can thrive.
You won't just be another engineer-you'll be part of a team where:
  • Your work directly impacts real-world missions
  • Your ideas and expertise are valued
  • You have opportunities to grow, lead, and innovate

Compensation & Benefits
Salary range: $138,000 - $185,000, depending on experience, clearance level, location, and contract requirements.
We offer a comprehensive benefits package, including:
  • Medical, dental, and vision insurance
  • Life and disability insurance
  • 401(k) and financial planning support
  • Paid time off and holidays
  • Professional development and tuition assistance
  • Dependent care support

Equal Opportunity Employer
IAMUS Consulting is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Ready to Make an Impact?
If you're a mid-level data engineer ready to lead, innovate, and contribute to mission-critical work, we'd love to connect.

Apply