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

Sparibis

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.

Node.Digital

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 ...

Steampunk

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 ...

Node.Digital

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 ...

Node.Digital

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 ...

Steampunk

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 ...

Delan Associates, Inc.

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 ...

540

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 ...

Delan Associates, Inc

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 ...

NewGen

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 ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Mclean, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0243464 Location: McLean,VA,US Share job via: Share Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Analytica

Data Engineer

Bethesda, MD · Remote

$117K - $140K/yr

  • Medical

  • Retirement

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 ...

Arbor

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 ...

Analytica

Data Engineer

Bethesda, MD · On-site +1

$122K - $147K/yr

  • Medical

  • Retirement

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 ...

Ad Hoc

Senior AI Platform & Data Engineer

Mclean, VA · Remote

$107K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior AI Platform & Data Engineer Job Number: 868 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern ...

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Showing results 41-60

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

Remote Data Engineer information

See Gaithersburg, MD salary details

$48.1K

$140.2K

$191.8K

How much do remote data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data engineer in Gaithersburg, MD is $140,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,700.00 and $148,600.00 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 Gaithersburg, MD?

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Gaithersburg, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $140,152 per year, or $67.4 per hour.

Data Engineer

Sparibis

Washington, DC • On-site, Remote

$129K - $155K/yr

Full-time

Re-posted 28 days ago

Job description

Location: 100% Remote
Years' Experience: 5+ years Professional Experience
Education: Bachelor's Degree in IT related field
Clearance: Applicants must be able to obtain and maintain a secret security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.
Required Certifications:
  • CompTIA Security +

Key Skills:
  • 5+ years of IT experience focusing on enterprise data architecture and management to include data flow charts, diagrams, and other technical documentation.
  • Experience with Databricks, Structured Streaming, Delta Lake concepts, and Delta Live Tables required.
  • Python development experience required.
  • Experience with ETL and ELT tools such as SSIS, Pentaho, and/or Data Migration Services, and the ability to incorporate Python as required.
  • Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).
  • Proficiency using Git for version control, including repository management, branching, merging, and pull requests.
  • Active CompTIA Security+ certification preferred. If selected, must be able to obtain a CompTIA Security+ certification prior to beginning supporting the program.

Responsibilities
  • Plan, create, and maintain data architectures, ensuring alignment with business requirements.
  • Obtain data, formulate dataset processes, and store optimized data.
  • Identify problems and inefficiencies and apply solutions.
  • Determine tasks where manual participation can be eliminated with automation.
  • Identify and optimize data bottlenecks, leveraging automation where possible.
  • Create and manage data lifecycle policies (retention, backups/restore, etc).
  • In-depth knowledge for creating, maintaining, and managing ETL/ELT pipelines.
  • Create, maintain, and manage data transformations.
  • Maintain/update documentation.
  • Create, maintain, and manage data pipeline schedules.
  • Monitor data pipelines.
  • Create, maintain, and manage data quality gates (Great Expectations) to ensure high data quality.
  • Support AI/ML teams with optimizing feature engineering code.
  • Expertise in Spark/Python/Databricks, Data Lake and SQL.
  • Create, maintain, and manage Spark Structured Steaming jobs, including using the newer Delta Live Tables and/or DBT.
  • Research existing data in the data lake to determine best sources for data.
  • Create, manage, and maintain ksqlDB and Kafka Streams queries/code
  • Data driven testing for data quality.
  • Maintain and update Python-based data processing scripts executed on AWS Lambdas.
  • Unit tests for all the Spark, Python data processing and Lambda codes.
  • Maintain PCIS Reporting Database data lake with optimizations and maintenance (performance tuning, etc).
  • Streamlining data processing experience including formalizing concepts of how to handle lake data, defining windows, and how window definitions impact data freshness.

Qualifications
  • 5+ years of IT experience focusing on enterprise data architecture and management.
  • Must have an active Secret security clearance.
  • Bachelor degree required.
  • CompTIA Security+ certification preferred. If selected, must be able to obtain a CompTIA Security+ certification prior to begin supporting the program.
  • Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional Data Modeling.
  • Experience with Databricks and Python Development, Structured Streaming, Delta Lake concepts, and Delta Live Tables required.
    • Additional experience with Spark, Spark SQL, Spark DataFrames and DataSets, and PySpark.
    • Data Lake concepts such as time travel and schema evolution and optimization.
    • Structured Streaming and Delta Live Tables with Databricks a bonus.
  • Knowledge of Python (Python 3.X) for CI/CD pipelines required.
    • Familiarity with Pytest and Unittest a bonus.
  • Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data mart build, and data lakes implementation / support.
    • Advanced level understanding of streaming data pipelines and how they differ from batch systems.
    • Formalize concepts of how to handle late data, defining windows, and data freshness.
    • Advanced understanding of ETL and ELT and ETL/ELT tools such as SSIS, Pentaho, Data Migration Service etc.
    • Understanding of concepts and implementation strategies for different incremental data loads such as tumbling window, sliding window, high watermark, etc.
    • Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus.
    • Understanding of streaming data pipelines and batch systems.
    • Familiarity with concepts such as late data, defining windows, and how window definitions impact data freshness.
  • Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).
  • Indexing and partitioning strategy experience.
  • Debug, troubleshoot, design and implement solutions to complex technical issues.
  • Experience with large-scale, high-performance enterprise big data application deployment and solution.
  • Understanding how to create DAGs to define workflows.
  • Familiarity with CI/CD pipelines, containerization, and pipeline orchestration tools such as Airflow, Prefect, etc a bonus but not required.
  • Architecture experience in AWS environment a bonus.
    • Familiarity working with Kinesis and/or Lambda specifically with how to push and pull data, how to use AWS tools to view data in Kinesis streams, and for processing massive data at scale a bonus.
    • Experience with Docker, Jenkins, and CloudWatch.
    • Ability to write and maintain Jenkinsfiles for supporting CI/CD pipelines.
    • Experience working with AWS Lambdas for configuration and optimization.
    • Experience working with DynamoDB to query and write data.
    • Experience with S3.
  • Experience working with JSON and defining JSON Schemas a bonus.
  • Experience setting up and management Confluent/Kafka topics and ensuring performance using Kafka a bonus.
    • Familiarity with Schema Registry, message formats such as Avro, ORC, etc.
    • Understanding how to manage ksqlDB SQL files and migrations and Kafka Streams.
  • Ability to thrive in a team-based environment.
  • Experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior level of management.
  • Proficiency using Git for version control, including repository management, branching, merging, and pull requests.
    • Repository setup and management.
    • Branching strategies (feature, develop, main).
    • Merging and resolving conflicts.
    • Creating and reviewing pull requests.
    • Commit best practices (clear messages, atomic commits).
    • Tagging and release management.

About Sparibis
Sparibis LLC is a professional solution firm that Clients rely on to access the best talent to drive their business success.
Sparibis is an equal opportunity employer that values diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply.

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