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Remote Node Jobs in Washington, DC (NOW HIRING)

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 ...

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

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 ...

This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work. NCBI ... NCBI's wide range of applications, platforms (node, python, Django, C++, you name it) and ...

Python Software Developer

Herndon, VA · Remote

$114K - $190K/yr

Experience working with Node.js. * Experience with CI/CD tools such as Jenkins or GitLab CI ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Showing results 21-40

Remote Node information

See Washington, DC salary details

$11

$65

$94

How much do remote node jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote node in Washington, DC is $65.95, according to ZipRecruiter salary data. Most workers in this role earn between $55.82 and $72.16 per hour, depending on experience, location, and employer.

What is a remote node?

A Remote Node is a server or computer that runs specialized software to connect to a blockchain network from a remote location, rather than locally on your own device. Users can interact with the blockchain by sending transactions or querying data through the remote node, reducing the need to download the entire blockchain. This is commonly used in cryptocurrencies to make network access easier and more efficient, especially for lightweight clients or mobile wallets.

What are some common challenges faced by remote Node.js developers when collaborating with distributed teams?

Remote Node.js Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication in the absence of face-to-face interactions, and maintaining code consistency with team members. Utilizing collaboration tools like Slack, Jira, and GitHub, and following best practices for code reviews and documentation, can help mitigate these challenges. It's also important to participate in regular standups and sync meetings to stay aligned with the team and project goals.

What are the key skills and qualifications needed to thrive as a remote Node.js developer?

To thrive as a Remote Node.js Developer, you need a solid understanding of JavaScript, Node.js frameworks (such as Express), RESTful API design, and asynchronous programming, typically supported by a degree in computer science or relevant experience. Familiarity with version control systems like Git, cloud platforms (AWS, Azure), and containerization tools (Docker) is commonly required, along with knowledge of testing frameworks. Strong communication, self-motivation, and time management skills are essential for effective collaboration in distributed teams. These competencies ensure you can deliver robust back-end solutions efficiently while maintaining productivity and clear communication in a remote work environment.

Senior Data Engineer

Node.Digital

Washington, DC • Remote

$120K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Senior Data Engineer

Location: 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 approaches and modern pipeline design patterns.

•      Design, implement, and maintain the data architecture that supports products and end users, with all assets managed under source control.

•      Design, implement, and maintain ELT and ETL pipelines for efficient processing of source data in Azure Synapse and Azure Machine Learning, using both SDK V1 and SDK V2.

•      Migrate source data identified by SBA OIG into Azure Data Lake Storage.

•      Normalize entity attributes such as addresses, phone numbers, and other common fields.

•      Review, maintain, and improve existing architecture and pipelines, including periodic audits addressing bottlenecks, deprecated dependencies, and architecture drift.

•      Establish quality controls across all pipelines and introduce error handling, logging mechanisms, and validation checks.

•      Incorporate source control across all pipelines and analytics codebases so code can evolve iteratively without destabilizing the architecture.

•      Optimize ingestion, processing, and storage across a wide variety of datasets and data types, including modern columnar formats such as Parquet.

•      Develop self service capabilities that let SBA OIG analysts query and export data for investigations and audits.

•      Author robust standard operating procedures governing the authoring, development, validation, publishing, execution, and monitoring of all data pipelines and assets in the Azure environment.

•      Produce detailed documentation of the data architecture, including data dictionaries, entity relationship diagrams, and pipeline process maps.

•      Maintain and expand the environment with additional datasets and services on request, following a defined intake and testing process before production deployment.

•      Stay current with emerging AI tooling relevant to data engineering and contribute to exploratory work evaluating automation and language model assisted capabilities.

Education\t

Bachelor\'s degree in data engineering, computer science, data science, machine learning, mathematics, or a related field. Alternatively, five years of applied work experience in any of the same fields.

  • 5 years -\tMaintaining SQL databases and conducting advanced operations in SQL and T-SQL.
  • 5 years - Designing, implementing, and maintaining ELT and ETL processes in cloud based data analytics environments.
  • 3 years -\tWorking in Azure Synapse and Azure Machine Learning with the modern data stack. Certifications preferred, DP-203 or equivalent.
  • 3 years -Manipulating data in Python. Pandas is required. PySpark and Polars preferred. Experience developing reusable, modular code preferred.

PREFERRED QUALIFICATIONS

  • DP-203, Microsoft Certified Azure Data Engineer Associate, or an equivalent current certification.
  • Implementing pipelines and infrastructure using code first approaches: Python SDK, CLI, REST APIs, or infrastructure as code tooling such as Terraform or Bicep.
  • Implementing source control and continuous integration and delivery workflows for data assets.
  • Demonstrated familiarity with AI coding assistants and large language model integration patterns.
  • PySpark or Polars at production scale.
  • Entity resolution and attribute normalization across records with inconsistent addresses, names, and identifiers.
  • Building self service analytic access for non engineering users.

We are proud to offer competitive compensation and benefits packages to include

  • Medical 
  • Dental
  • Vision
  • Basic Life 
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training