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

Big Data Engineer

Tysons, VA · Remote

$65 - $70/hr

Hybrid 3 days onsite / 2 days remote in Tysons Corner, VA Our client is seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems.

Sr. Staff Data Engineer

Mclean, VA · On-site +1

$107K - $145K/yr

Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Data Engineer McLean, VA: $314,800 - $359,300 for Sr Distinguished Data Engineer New York, NY: $343,400 - $392,000 for Sr ...

Data Engineer

Arlington, VA · Remote

$117K - $140K/yr

INTEGRITYOne Partners - Data Engineer Location: Crystal City, VA Hybrid, periodic onsite presence (approximately 1-2 days/month) The Role You'll be at the forefront of delivering data and software ...

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Integrate data engineering workflows with existing software systems and platforms. * Monitoring and ...

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

Showing results 41-60

Remote Data Engineer information

See Clinton, MD salary details

$44.2K

$129K

$176.5K

How much do remote data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote data engineer in Clinton, MD is $128,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,700.00 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.

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

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

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

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

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

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

Infographic showing various Remote Data Engineer job openings in Clinton, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,976 per year, or $62 per hour.

Data Engineer / Python & SQL Developer

Washington, DC • Remote

Graham Technologies | We apply the latest technologies to build Forward Momentum.

$129K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Graham Technologies is seeking a highly qualified Data Engineer / Python & SQL Developer to support the design, development, and deployment of data engineering and ETL solutions in a mission-focused environment. This role requires advanced expertise in Python and SQL, with demonstrated experience developing scalable data pipelines, cloud-based integrations, and backend data processing solutions using AWS services. The ideal candidate will also bring strong database design capabilities, technical documentation skills, and experience working within Agile delivery environments.

Location: Remote (Preference for Dayton, OH or Washington, DC Metro Area)

Key Responsibilities:
  • Design, develop, enhance, and maintain data pipelines, ETL workflows, and backend data processing solutions using Python and SQL
  • Implement and support cloud-based data engineering solutions leveraging AWS Lambda, AWS Glue, Amazon S3, and related AWS services
  • Design and maintain database schemas, tables, data models, and stored procedures
  • Apply database design best practices, including normalization, performance optimization, data integrity, and scalable architecture
  • Analyze business and technical requirements and translate them into secure, scalable, and maintainable data solutions
  • Develop and maintain technical documentation, including solution documentation, interface specifications, data flow diagrams, and operational procedures
  • Participate in Agile ceremonies and delivery activities, including backlog management, sprint planning, status tracking, and issue resolution using Jira
  • Troubleshoot and resolve data quality, integration, ETL, and performance issues across the solution environment
  • Test ETL pipelines and data workflows to validate functionality, reliability, and data quality
  • Perform peer code reviews for other Data Engineers and provide technical guidance as appropriate
  • Collaborate with developers, architects, analysts, program leadership, and other cross-functional stakeholders to support successful delivery outcomes
  • Required Skills:

Experience:

  • Proven advanced or expert-level experience developing solutions using Python and SQL
  • Hands-on experience designing, developing, and maintaining ETL pipelines and data workflows
  • Experience with AWS Lambda, AWS Glue, Amazon S3, and related cloud data integration technologies
  • Experience with database design, schema development, data modeling, table design, and stored procedure scripting
  • Experience troubleshooting data quality, integration, and performance issues
  • Experience testing ETL pipelines and conducting code reviews
  • Consultant/Senior Consultant or USDC/PDM/Specialist equivalent experience

Skills:

  • Strong understanding of database design and data architecture best practices
  • Strong Python development and SQL scripting capabilities
  • Ability to design scalable, maintainable, and secure data engineering solutions
  • Ability to produce clear and structured technical documentation for development and operational use
  • Strong analytical, troubleshooting, problem-solving, and communication skills
  • Ability to work independently and collaboratively in a fast-paced, deadline-driven environment
Desired Skills:

Experience:

  • Prior experience supporting Department of Defense (DoD) or U.S. Air Force programs
  • Experience working in complex enterprise data environments with multiple upstream and downstream integrations
  • Experience supporting mission-oriented technology programs
  • Experience working within secure or controlled government environments

Credentials / Clearance:

  • Ability to meet applicable government security and access requirements

Compensation:

At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity.

Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.

Here are just a few highlights of what we offer:

  • Four Weeks of Accrued PTO in the First Year
  • Eleven Paid Federal Holidays
  • Comprehensive Health, Dental, Vision, and Life Insurance
  • 401(k) Plan with Annual Employer Contributions
  • Flexible Schedules
  • Reimbursements for Continued Education and Training
  • Why Graham Technologies?

Our core values define who we are:

  • Value our Customers
  • Care about our Employees
  • Passionate about Innovation
  • Believe in a Strong Work Ethic
  • Rely on Teamwork
  • Integrity Matters

Founded in 2007, GTech is a consulting services firm passionate about delivering tailored solutions that meet our clients' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do.

We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we've built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.