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

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

  • Medical

  • Retirement

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data ...

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

  • Medical

  • Dental

  • Vision

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

Mission (Data) Engineer

Arlington, VA · Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

Mission (Data) Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment  * Additional benefits like flexible hours, work travel ...

Data Engineer

Washington, DC · Remote

$145K - $160K/yr

  • Medical

  • Retirement

  • PTO

Minimum five (5) years of experience in data engineering, software development, or a related technical field. * Bachelor's degree in a STEM discipline, OR an additional four (4) years of experience ...

Data Engineer

Baltimore, MD · Remote

$116K - $139K/yr

  • Medical

  • Retirement

Job Overview As a Data Engineer in this role, you will apply advanced data engineering principles to create reusable workflows that cover ingestion, quality assurance, transformation, and ...

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our ...

Data Engineer

Baltimore, MD · On-site +1

$126K - $142K/yr

  • Medical

  • Retirement

Job Overview As a Data Engineer in this role, you will apply advanced data engineering principles to create reusable workflows that cover ingestion, quality assurance, transformation, and ...

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

New

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Washington, DC · On-site +1

$120K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Staff Data Engineer

Arlington, VA · On-site +1

$145K - $175K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation ... Remote)

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... ensure high data quality. * Support AI/ML teams with optimizing feature engineering code.

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. * Lead and architect ...

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. * Lead and architect ...

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 ...

Showing results 21-40

Remote Data Engineer information

See Laurel, MD salary details

$44.1K

$128.6K

$176K

How much do remote data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote data engineer in Laurel, MD is $128,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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.

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

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

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

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

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

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

Infographic showing various Remote Data Engineer job openings in Laurel, 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, 5% Hybrid, and 10% Remote job distribution, with an average salary of $128,609 per year, or $61.8 per hour.

Data Engineer

Analytica

Washington, DC • Remote

$117K - $140K/yr

Full-time

Medical, Retirement

Re-posted 28 days ago


Job description

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. This role works alongside senior engineers and architects to improve data accessibility, platform reliability, and self-service analytics capabilities.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.    

Key Responsibilities:

  • Support ingestion, transformation, and publication of enterprise datasets using standardized and governed data engineering processes.
  • Develop and maintain SQL-based reporting and analytics solutions using Databricks SQL Warehouses.
  • Assist with implementation and administration of Unity Catalog, data lineage, metadata, and data governance controls.
  • Support cloud operations activities including infrastructure automation, logging, monitoring, and platform observability.
  • Implement and maintain CI/CD pipelines using tools such as GitHub Actions, Terraform, and Databricks Asset Bundles.
  • Participate in platform incident response, troubleshooting, and operational support activities.

Required Qualifications:

  • Minimum of 3 years of experience in data engineering, cloud engineering, or platform operations.
  • Experience supporting enterprise data platforms, analytics environments, or cloud-based data solutions.
  • Proficiency in Python, SQL, and data engineering concepts.
  • Experience with Databricks, Apache Spark, PySpark, or similar big data technologies.
  • Experience with AWS cloud services such as S3, IAM, CloudWatch, Glue, Athena, or Redshift.
  • Knowledge of ETL/ELT development and data pipeline design.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • AWS, Databricks, or cloud-related certifications preferred.
  • Ability to obtain or maintain an Active MBI Clearance.

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small businessthat has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. 

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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