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Remote Node Jobs in Washington (NOW HIRING)

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 ...

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 ...

Motion Recruitment

Engineering Manager

VA · Remote

$125 - $170K/hr

This is a fully remote role - EST Time zone (CST furthest) Type: Temp to Hire Rates: conversion ... node JS 4 React 4 Agentic AI 2 About the Team College Board offers a dynamic suite of tools and ...

Orbis Operations, LLC

Integration Engineer

Mclean, VA · Remote

$105K - $141K/yr

Node deployment and platform infrastructure use provided tooling and established runbooks; your ... THIS IS A REMOTE POSITION WITH INTERNATIONAL TRAVEL REQURIED KEY RESPONSIBILITIES Execute ...

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Remote Node information

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 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.

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.

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Remote Node jobs near you

Senior Data Scientist (NLP and Unstructured Data Analytics)

Node.Digital

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Key responsibilities

  • Integrate and scale natural language processing methods to parse, clean, and analyze large corpora of unstructured and semi-structured text.

  • Design, develop, test, calibrate, and implement statistical and machine learning models targeting financial fraud, improper payments, and non-compliance within SBA programs.

  • Build visualizations and dashboards conveying methodological choices, outcomes, and predictive capability, iterated on end user feedback.

Job description

Senior Data Scientist (NLP and Unstructured Data Analytics)
Location: Herndon, VA (Remote Work)
Must have a Public Trust Clearance
KEY RESPONSIBILITIES
  • Integrate and scale natural language processing methods to parse, clean, and analyze large corpora of unstructured and semi structured text, using optical character recognition, semantic similarity algorithms, and large language models as needed.
  • Design, develop, test, calibrate, and implement statistical and machine learning models targeting financial fraud, improper payments, and non compliance within SBA programs.
  • Build and refine supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches.
  • Review, maintain, and support all existing loan fraud indicators developed by TSD.
  • Perform data quality analysis on source tables and develop repeatable processes for combining and analyzing large data sources.
  • Collaborate directly with criminal investigators to determine and execute analytic strategies supporting loan fraud cases, and adhere closely to the federal rules of criminal procedure governing protected information, including Rule 6(e).
  • Develop case leads for SBA OIG investigations from model outcomes.
  • Document all methodology, test models, and production models in a form that satisfies criminal evidentiary requirements.
  • Build visualizations and dashboards conveying methodological choices, outcomes, and predictive capability, iterated on end user feedback.
  • Deliver findings in multiple registers: data summaries and visualizations for investigative staff, executive summaries for OIG leadership.
  • Coordinate with the data engineering seat so the architecture supports machine learning and text processing pipelines efficiently.
  • Create programming and automation techniques using SharePoint, Python, Excel, Power BI, Power Apps, and similar tools.
  • Identify new business questions that expand the scope of analysis and reporting.

Requirements
Required
Education
Master's, Ph.D., or doctorate level equivalent degree in data science, machine learning, computer science, mathematics, or a related field. Alternatively, ten years of applied work experience in any of the same fields.
  • 5+ years Designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
  • 5+ years Developing analytic rules and models using leading edge analytic tools and best practices.
  • 5+ years Developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • 3+ years Providing data support for criminal investigations into financial fraud or abuse of government funds.
  • 3+ years Manipulating data in Python. Pandas is required.
  • 3+ years Working in a modern cloud environment: Azure, AWS, or GCP. Certifications preferred.
  • 2+ years Conducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.
  • 2+ years Developing and scaling natural language processing solutions.
  • 2+ years Presenting methods and findings to technical and non technical stakeholders, both orally and in written products and visualizations.

PREFERRED QUALIFICATIONS
  • Production experience with named entity recognition and entity resolution across messy document corpora.
  • Retrieval augmented generation, vector stores, embeddings, and semantic search at scale.
  • Large language model integration under federal security constraints, including boundary controlled deployment and prompt versioning.
  • Optical character recognition pipelines applied to scanned or low quality source documents.
  • Topic modeling, document classification, or clustering applied to audit, legal, or investigative text.
  • Cloud certification in Azure, AWS, or GCP.

Benefits
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

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