2

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

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

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 · 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 ...

Sr. Data Engineer

Baltimore, MD · On-site +1

$129K - $178K/yr

The Data Engineer plays a key role in modernizing the organization's data ecosystem by helping transition legacy data analytics solutions to a contemporary infrastructure. This role blends advanced ...

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Solid understanding of data cleaning, preparation, and feature engineering to support downstream ...

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Solid understanding of data cleaning, preparation, and feature engineering to support downstream ...

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 ...

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.

New

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 ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

Overview We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for more ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

Overview We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for more than ...

Showing results 41-60

Remote Data Engineer information

See Laurel, MD salary details

$45.6K

$132.9K

$181.9K

How much do remote data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data engineer in Laurel, MD is $132,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $140,900.00 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 Laurel, MD?

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

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

For Remote Data Engineer jobs in Laurel, MD, the most frequently searched job titles 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, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,609 per year, or $61.8 per hour.

Data Engineer

Analytica

Bethesda, MD • Remote

$117K - $140K/yr

Full-time

Medical, Retirement

Re-posted 4 days ago


Job description

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 team that involves direct, collaborative client engagement to design and develop software products. 

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.   

Responsibilities include (but not limited to):  

  • Design and implement star schema dimensional models (fact and dimensions tables) in SQL Server to support business intelligence and analytics requirements 

  • Write and optimize scripts for data operations including table creation, indexing strategies, appropriate primary and foreign keys, and slowly changing dimensions. 

  • Provide business analysis and develop ETL code and scripting to meet all technical specifications and business requirements according to the established designs. 

  • Develop application systems that comply with the standard system development methodology and concepts for design, programming, backup, and recovery to deliver solutions that have superior performance and integrity. 

  • Contribute to determining programming approach, tools, and techniques that best meet the business requirements. 

  • Provide subject matter expertise in the analysis, preparation of specifications and plans for the development of data processes. 

  • Deploys application code and analytical models using CI/CD tools and techniques and provides support for deployed data applications and analytical models 

Basic Qualifications: 

  • Bachelor’s degree in Computer Science, Engineering, IT, or other scientific or quantitative fields 

  • 5 years’ experience designing conceptual, physical and logical data models using enterprise data modeling tools 

  • 5 years’ experience in strategic data planning, governance and standards 

  • 5 years’ experience in leveraging enterprise data warehouse modeling constructs and star schema best practices to ensure flexible, scalable and high performing physical databases 

  • Previous hands-on experience integrating systems with big data / data lake repositories using ETL tools 

  • Experience with technologies such as Microsoft SQL Server, Amazon Redshift, Dbeaver, Visual Studio. 

  • Experience with data mining & data warehousing is a must 

  • Excellent communication skills, presentation and interpersonal skills are required. Ability to communicate clearly with both business and technical resources 

  • Ability to obtain Secret Clearance; Active Secret Clearance highly preferred

Preferred Qualifications: 

  • Experience with technologies such as AWS (Glue, Lambda), Git & Github,  

  • Certification in SQL Server or data management (CDMP, MCSA, etc) 

  • Background in defense healthcare domain.   


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 business that 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.

Powered by JazzHR

2VS7zRgQHx