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Remote Gps Machine Control Jobs in Washington (NOW HIRING)

Data Engineer

Centreville, VA ยท On-site +1

$113K - $136K/yr

Git for version control and collaborative development. * Understanding of machine learning ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

Design, build and implement machine learning models, including the development of AI Models and ... Work with GitHub and software version control. * Demonstrate the ability to efficiently and smartly ...

Staff Software Engineer

Rockville, MD ยท Remote

$180K - $220K/yr

Description CloudBolt Software (www.cloudbolt.io) is helping enterprises control infrastructure ... Collaborate closely with infrastructure, machine learning, and frontend teams to deliver end-to-end ...

Staff Software Engineer

Rockville, MD ยท On-site +1

$180K - $220K/yr

CloudBolt Software ( www.cloudbolt.io ) is helping enterprises control infrastructure chaos through ... Collaborate closely with infrastructure, machine learning, and frontend teams to deliver end-to-end ...

Data & Software Engineer

Mclean, VA ยท On-site +1

$115K - $139K/yr

... wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi ... Leveraging industry standard tools for code control (Git, IaaC control, etc.) * Working with data ...

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Remote Gps Machine Control information

What is the difference between Remote Gps Machine Control vs Remote Gps Machine Operator?

AspectRemote Gps Machine ControlRemote Gps Machine Operator
CredentialsTypically requires GPS technology training, certifications in machine control systemsRequires operator certifications, equipment operation training
Work EnvironmentOffice-based or remote monitoring, overseeing multiple machinesOn-site or remote operation of machinery in construction or surveying sites
Industry UsageUsed by project managers, engineers, and control specialistsUsed by machine operators in construction, mining, or surveying

Remote Gps Machine Control involves overseeing and managing GPS-guided machinery remotely, focusing on system setup and monitoring. In contrast, Remote Gps Machine Operator directly controls and operates machinery, often on-site or remotely, but with hands-on responsibilities. Both roles require GPS and machinery knowledge but differ in their focus on control versus management.

What are the most commonly searched types of Gps Machine Control jobs in Washington? The most popular types of Gps Machine Control jobs in Washington are:
What job categories do people searching Remote Gps Machine Control jobs in Washington look for? The top searched job categories for Remote Gps Machine Control jobs in Washington are:
What cities in Washington are hiring for Remote Gps Machine Control jobs? Cities in Washington with the most Remote Gps Machine Control job openings:
Data Engineer

Data Engineer

Edgesource

Centreville, VA โ€ข On-site, Remote

$113K - $136K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Job description

Company Overview:

For over 25 years,ย Edgesource Corporation has served as an innovative technology service provider for the Department of Defense (DOD), Department of Homeland Security (DHS), Department of State (DOS), the U.S. Intelligence Community, Law Enforcement, and other federal, state, and commercial clients locally, nationally, and abroad. From providing boutique technical solutions in support of the DOD Counter Unmanned Aerial Systems (CUAS) mission set to addressing the most critical Cybersecurity threats facing our nation as a prime contractor with the DHS Cybersecurity & Infrastructure Security Agency (CISA), a career at Edgesource is an opportunity to do meaningful, interesting, and impactful work.

Position Overview:

  • Client is seeking a data engineer to grow our team performing cutting edge client work in mission space. With overwhelming amounts of large data, client is seeking a data engineer to support data structuring for implementation into a larger enterprise system that is being custom developed for client.

Development is performed on client site.

Responsibilities:

  • Design, develop, and maintainย ETL/ELT pipelinesย for batch and real-time processing usingย Python and SQL.
  • Integrate data from multiple sources, including databases, APIs, streaming platforms, PDFs, and MS Office files.
  • Build scalable data architectures to support analytics and machine learning workloads.
  • Optimizeย data processing and queriesย for performance and cost efficiency inย AWS S3.
  • Exposure to PySpark or other big data frameworksย is a plus for future pipeline scalability.
  • Develop and implement web scraping and data ingestion workflows to collect open-source data, integrating content and producing structured datasets and visualizations for analytics and stakeholder consumption.

Data Management & Optimization

  • Collect, clean, and validate large volumes of structured and unstructured data.
  • Track data versions, implement data quality checks, and ensure data reliability.
  • Design and optimizeย data storage in AWS S3, including raw, intermediate, and final datasets.
  • Implementย data governance practices, including documentation, cataloging, lineage, and security.
  • Ensure compliance security standards.

Collaboration with Data Science & Stakeholders

  • Work closely withย Data Scientists, Analysts, and stakeholdersย to understand data requirements.
  • Prepareย clean, structured, and feature-ready datasetsย for analytics and machine learning.
  • Supportย feature engineering, aggregations, and transformationsย at scale.
  • Assist in deploying ML models to production, ensuring monitoring, versioning, and performance optimization.

APIs, Containers & CI/CD

  • Integrate withย REST APIs.
  • Utilizeย Docker, Kubernetes, Git, and CI/CD pipelines to deploy and manage workflows.

Documentation & Communication

  • Document pipelines, data schemas, and transformations clearly.
  • Communicate technical concepts effectively with cross-functional teams.
  • Participate in code reviews and promote best practices across the team.

Required Qualifications:

  • 3โ€“5 years + of professional experience inย data engineeringย or related roles.
  • Strong collaboration skills to work effectively withย Data Scientists, Analysts, and Engineering teams.
  • Ability toย communicate complex technical conceptsย to non-technical stakeholders.
  • Detail-oriented, curious, and committed toย data quality.
  • Capable of managingย multiple prioritiesย in a fast-paced environment.

Technical Skills

  • Python, SQL, and PySpark (highly desired)ย for data processing and pipeline development.
  • Elastic/OpenSearchย for search and analytics solutions.
  • Experience withย AWS cloud servicesย andย Linux environments.
  • Gitย for version control and collaborative development.
  • Understanding ofย machine learning workflowsย andย MLOps concepts.

Working at Edgesource:
As an ISO 9001:2015 certified and CMMI Level 3 appraised small business, Edgesource specializes in providing a variety of technical solutions to includeย software development, database services, enterprise networking, data center virtualization, and management support. We are always seeking top-talent to join our team in helping to address the most critical technical challenges facing our nation.

At Edgesource, we understand that our employees are our greatest asset, and as such we offer a wide array of benefits to support the well-being of our staff to include:

-ย Flexible PTO Policyย + 11 Paid Holidaysย -
-ย Flexible Work Schedules (Remote / Hybrid)ย -
-ย Medical / Dental / Vision / Flexible Spending Account (FSA)ย -
-ย 401k Plan with Matchย -
-ย Tuition & Professional Developmentย Supportย -
-ย Commuter Benefitsย -
-ย Bonus & Employee Referral Programsย -
-ย Career Growth Opportunities -

Disclaimer:

Edgesource Corporation is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Edgesource is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact our Recruiting Department by email atย recruiting@edgesource.comย or by phone at (703) 837-0550.