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Remote Node Jobs in Washington (NOW HIRING)

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 ...

Bigbear.ai

Cloud Infrastructure Engineer

Mclean, VA · Remote

$142K - $190K/yr

This is a remote role however there will be travel expectations within the DMV area ... Support Kubernetes infrastructure needs (cluster foundations, node groups, storage classes, ingress ...

Hathiant

Sr Storyblok Developer

Herndon, VA · Remote

$55.75 - $73.75/hr

Remote Description Hathiant is seeking qualified professionals to support the Grants.gov ... Support JavaScript/Node.js-based application components and integrations, including troubleshooting ...

TIAG

Senior Front End Developer

Reston, VA · Remote

$119K - $157K/yr

... Remote (US-based), with a strong preference for candidates in the Pacific Time Zone to align with ... Node package management * React, Jest * HTML5, JSON, CSS3, Grid, Flexbox * Code versioning with Git ...

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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 (Fraud Detection and Investigative Analytics)

Node.Digital

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Scientist (Fraud Detection and Investigative Analytics)

Location: Herndon, VA (Remote Work)

Must have an Public Trust Clearance

KEY RESPONSIBILITIES

  • Review, maintain, and extend all existing loan fraud indicators developed by TSD, and provide authoritative expertise on analytic method selection.
  • Design, develop, test, calibrate, and implement advanced statistical and machine learning models targeting financial fraud, improper payments, and non compliance within SBA programs.
  • Build and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches, and tune candidate models to determine best fit.
  • Perform data quality analysis on source tables to identify abnormalities and inconsistencies, and develop repeatable processes for combining and analyzing large relational, structured, and unstructured sources.
  • Collaborate directly with criminal investigators to determine and execute analytic strategies supporting loan fraud cases, adapting analysis as case needs shift and proactively surfacing data quality issues.
  • 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 that convey methodological choices, outcomes, and predictive capability, and iterate them 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 efficiently.
  • Create programming and automation techniques that improve task efficiency using SharePoint, Python, Excel, Power BI, Power Apps, and similar tools.
  • Identify new business questions that expand the scope of analysis and reporting.

Required:

Education\t

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\tDesigning, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.\t
  • 5+ years\tDeveloping analytic rules and models using leading edge analytic tools and best practices.
  • 5+ years\tDeveloping regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.\t
  • 3+ years\tProviding data support for criminal investigations into financial fraud or abuse of government funds.\t
  • 3+ years\tManipulating data in Python. Pandas is required.\t
  • 3+ years\tWorking in a modern cloud environment: Azure, AWS, or GCP. Certifications preferred.\t
  • 2+ years\tConducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.\t
  • 2+ years\tDeveloping and scaling natural language processing solutions.\t
  • 2+ years\tPresenting methods and findings to technical and non technical stakeholders, both orally and in written products and visualizations.\t

PREFERRED QUALIFICATIONS

  • Cloud certification in Azure, AWS, or GCP.
  • Direct experience with SBA loan programs, including 7(a), 504, EIDL, or PPP, or with comparable federal lending or grant fraud.
  • Entity resolution, record linkage, or graph and network analysis applied to fraud.
  • Experience producing analytic products that were used in a criminal referral or prosecution.
  • Model explainability practice such as SHAP or comparable feature attribution methods.

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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