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

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

Location:Fully Remote, United States Position Type: Full-Time Clearance: U.S. citizenship is ... The Senior Data Engineer will work with technical teams, program leadership, and government ...

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES * Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Senior Data Engineer

Arlington, VA · Remote

$121K - $165K/yr

Remote within the continental United States. Periodic travel may be required Citizenship ... Senior Data Engineer WHY 540? 540 is a forward-thinking company that the government turns to in ...

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Glider - Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data ...

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Glider - Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data ...

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

The Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. They will be responsible for all ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Data Engineer

Bethesda, MD · Remote

$117K - $140K/yr

Analytica is seeking a Data Engineer to support a key, long-term federal government client program and software product. The ideal candidate will be comfortable working in an agile, multi-faceted ...

Data Engineer

Bethesda, MD · On-site +1

$122K - $147K/yr

Analytica is seeking a Data Engineer to support a key, long-term federal government client program and software product. The ideal candidate will be comfortable working in an agile, multi-faceted ...

Enterprise Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured ...

Data Engineer

Columbia, MD · Remote

$100K - $120K/yr

Data Engineer Key Required Skills: Technical experience in information architecture, data architecture, data modeling, data governance, ETL design, data quality and BI-analytics. Position Description ...

Data Engineer

Columbia, MD · Remote

$100K - $120K/yr

Data Engineer Key Required Skills: Technical experience in information architecture, data architecture, data modeling, data governance, ETL design, data quality and BI-analytics. Position Description ...

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 ...

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Showing results 41-60

Remote Data Engineer information

See Bethesda, MD salary details

$47.7K

$139K

$190.2K

How much do remote data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote data engineer in Bethesda, MD is $139,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,700.00 and $147,400.00 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 the most commonly searched types of Data Engineer jobs in Bethesda, MD?

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

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

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

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

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

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

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

Infographic showing various Remote Data Engineer job openings in Bethesda, MD as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $134,877 per year, or $64.8 per hour.

Senior Data Engineer

TeamWorx Security, LLC.

Columbia, MD • Remote

$105K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Key responsibilities

  • Design, build, deploy, and support production data pipelines and enterprise data solutions using Databricks, Google Cloud Platform, BigQuery, Python, SQL, and related technologies.

  • Develop enterprise data models and layered data architectures that transform information from multiple source systems into reliable, reusable data products for analytics, applications, reporting, automation, and AI/ML.

  • Extract, transform, validate, and analyze data from multiple sources to support reporting, business intelligence, AI, and operational decision-making.


Job description

Location:Fully Remote, United States
Position Type: Full-Time

Clearance: U.S. citizenship is required. The candidate must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access.


The Opportunity

TeamWorx Security is seeking a Senior Data Engineer to design, build, and maintain enterprise data platforms and pipelines for a federal government client. The Senior Data Engineer will work with technical teams, program leadership, and government stakeholders to integrate complex data sources, improve data quality, and deliver secure, scalable data products that support analytics, automation, artificial intelligence, and operational decision-making. This work supports enterprise data efforts that span multiple business lines, so priorities shift as different teams need help.


The work rewards engineers who can move between projects, learn a new business area quickly, and apply their skills wherever the need is greatest. The ideal candidate brings strong data engineering fundamentals, hands-on experience delivering production solutions in an enterprise Databricks environment, and familiarity with Google Cloud Platform.


Success in this role requires initiative, ownership, and clear communication. The Senior Data Engineer is expected to work through ambiguity, identify needs or risks before they become problems, and move assignments forward without waiting for detailed direction. This person must communicate progress, decisions, and obstacles clearly while remaining accountable for work through delivery and ongoing support.


What You'll Be Doing

  • Design, build, deploy, and support production data pipelines and enterprise data solutions using Databricks, Google Cloud Platform, BigQuery, Python, SQL, and related technologies.
  • Develop enterprise data models and layered data architectures that transform information from multiple source systems into reliable, reusable data products for analytics, applications, reporting, automation, and AI/ML.
  • Extract, transform, validate, and analyze data from multiple sources to support reporting, business intelligence, AI, and operational decision-making.
  • Ensure data quality, security, governance, traceability, and compliance throughout the data lifecycle.
  • Work with technical teams and federal stakeholders to define requirements, evaluate options, document solutions, and resolve technical issues.
  • Evaluate and apply new technologies based on customer needs while supporting testing, deployment, production operations, and continued improvement.


What We Think You'll Need

  • Bachelor's degree in computer science, data science, information systems, engineering, or a related field, or equivalent professional experience.
  • 12 or more years of relevant data engineering, software engineering, data architecture, or technical delivery experience.
  • Master's degree and 10 years of experience also considered.
  • Demonstrated hands-on experience delivering production data engineering solutions in an enterprise Databricks environment, including data pipelines and orchestration, Delta Lake, Unity Catalog, CI/CD and deployment, and enterprise security and governance practices.
  • Experience across a range of data engineering technologies, which may include GCP, BigQuery, Python, SQL, JavaScript, Google Apps Script, APIs, cloud platforms, databases, and visualization tools.
  • Understanding of data modeling, ETL/ELT, data quality, governance, security, and production support.
  • Strong problem-solving, documentation, communication, and teamwork skills.
  • Curiosity and willingness to learn new platforms, tools, and technical approaches as project needs change.


What's in it for you?

These awesome perks: Comprehensive Health, Dental, & Vision Insurance, Short-Term Disability & Life Insurance, Matching 401(k) Contributions, Paid Time Off including 11 Holidays and your Birthday, Professional Development, Fitness Membership, and Home Office allocations, Performance Bonuses & Profit Sharing, & Employee Referral Bonuses. But wait, there's more: TeamWorx Security is committed to our teammates and their professional goals. Being a small but growing company affords us the opportunity to work WITH YOU to reach your full potential.


A Little About Us and Our Team

We love to be inspired. We started TeamWorx Security to build, create, and dream about what inspires us, and because of this, our Maryland startup is quickly growing. We are a team of data scientists, software engineers, researchers, product developers, and operation-minded folks who specialize in developing applications and products that our customers love. Our mission is to reinvent the way technical and non-technical people work with technology. We believe in creating harmonious, automated solutions designed to improve our customers' daily workflow, allowing them to act quickly and decisively about what matters most. We are looking for critical thinkers who excel at solving problems and have a passion for what they do to help us move our mission forward. This is our story; come tell us your story.


At TeamWorx Security, Inc., we hold our values as guiding principles in all that we do and encourage our community to embrace and embody them. Our core values are putting our employees first, being curious, being authentic, being scrappy, and honoring those we serve. These values drive our company culture, decision-making, and operations.


Commitment to Our Talent Community

All qualified applicants will receive consideration for employment without regard to disability, veteran or military status, or any other basis prohibited by law.