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

Motion Recruitment

Senior Data Engineer

VA · Remote

$110K - $150K/yr

Senior Data Engineer Location: 100% Remote (U.S. based) - must work core Eastern Time hours. Candidates based in Eastern or Central time zones only; Mountain and Pacific time zones will not be ...

Node.Digital

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/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 ...

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.

TeamWorx Security, LLC.

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 ...

Node.Digital

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/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 ...

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 ...

Node.Digital

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 ...

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 ...

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 ...

Analytica

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 ...

Analytica

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 ...

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 ...

Index Analytics

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 ...

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

Remote Data Engineer information

See Potomac, MD salary details

$46K

$134.2K

$183.6K

How much do remote data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data engineer in Potomac, MD is $134,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $142,200.00 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 Potomac, MD?

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Potomac, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $134,162 per year, or $64.5 per hour.

Senior Data Engineer

Motion Recruitment

VA • Remote

$110K - $150K/yr

Contractor

Posted 6 days ago

Key responsibilities

  • Build and maintain data pipelines and microservices using AWS services including Redshift, Lambda, S3, SQS, SNS, DynamoDB, QuickSight, and OpenSearch

  • Write and optimize complex SQL queries for data extraction, transformation, and reporting

  • Create and maintain automated functional and system tests to verify system functionality and support continuous integration

Job description

Senior Data Engineer
Location: 100% Remote (U.S. based) - must work core Eastern Time hours. Candidates based in Eastern or Central time zones only; Mountain and Pacific time zones will not be considered.
Engagement Type: Long-term contract. W2 only
About the Team
Join a passionate, close-knit team supporting a dynamic suite of tools and programs that streamline and expedite the Higher Education recruitment and admissions process. The team is responsibly experimenting with AI to help institutions connect with millions of high school students each year, and prides itself on continuously innovating its products and services. You'll collaborate with a mix of full-time staff and contractors - including three architects and three-plus engineers - across multiple time zones to deliver a range of services and tools.
About the Opportunity
As a Senior Data Engineer, you bring a strong passion for software engineering excellence and a drive to turn that passion into consistent, high-quality product development. You're customer-obsessed, analytically sharp, and thrive working with native AWS services to solve challenging business problems.
You'll partner closely with Product Owners, Architects, Developers, and fellow Engineers to design, define, and implement product features, conduct system-level validation, and verify functionality throughout the development lifecycle. This role sits at the intersection of data engineering, analytics, and quality engineering - you'll build robust data pipelines while also contributing to testing and automation practices that keep the platform resilient and performant.
This role has a strong emphasis on Amazon Redshift - including Redshift Serverless, complex SQL development, and integrating Redshift with the broader AWS data ecosystem.
What You'll Do
Design & Implementation (~70%)
  • Build and maintain data pipelines and microservices using AWS services including Redshift, Lambda, S3, SQS, SNS, DynamoDB, QuickSight, and OpenSearch
  • Write and optimize complex SQL for data extraction, transformation, and reporting
  • Create and maintain automated functional and system tests that replicate real-world scenarios
  • Develop code and test automation to support security features and technical scoping, ensuring high-quality, reliable feature delivery
  • Support continuous integration practices and help the team continuously raise the bar on code quality
  • Coordinate with other engineers, architects, UX, and infrastructure teams as needed
Strategy & Communication (~20%)
  • Help implement cloud-first architectural solutions and best practices
  • Participate in agile ceremonies - sprint planning, backlog grooming, daily standups, and sprint demos
  • Participate in peer reviews of software engineering artifacts
Team Coordination (~10%)
  • Mentor team members by developing training materials on current and future product architecture
  • Provide constructive feedback on code and design artifacts to technical staff
What You'll Need
  • Ideally 6+ years of software development experience in a production environment
  • Expertise writing and optimizing complex SQL queries (SELECT, JOIN, GROUP BY, HAVING, window functions, etc.)
  • Expertise integrating Redshift/Redshift Serverless with AWS services such as S3, Glue, Lambda, Athena, DynamoDB, and Kinesis, along with BI tools like Tableau, QuickSight, or Looker for real-time analytics and dashboards
  • Expertise building serverless ETL pipelines with Lambda to automate data ingestion and transformation into Redshift
  • Required: Python. Nice to have: React and Node.js
  • Experience building event-driven, serverless cloud applications on AWS
  • Solid technical grounding in cloud computing, DevOps, and microservices architecture
  • Excellent communication skills, with the ability to translate technical concepts into business-friendly language
  • Proven ability to build strong working relationships with stakeholders and customers
  • Strong analytical, conceptual, and problem-solving skills
  • Ability to prioritize and execute effectively in a fast-paced, high-pressure environment
Core Technology Focus
Redshift/SQL, AWS Lambda, AWS S3, AWS SNS/SQS, AWS Step Functions, AWS DynamoDB, AWS CloudFormation, Python, Node.js, and applied Generative AI. This is a long-term remote contract opportunity with recurring engagement renewals. Interested candidates should apply with an updated resume highlighting relevant AWS and Redshift experience.

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