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Remote Load Control Agent Jobs in Washington (NOW HIRING)

ETL Data Engineer

Tysons, VA ยท Remote

$70 - $88/hr

Description: Hybrid 3 days onsite / 2 days remote in Mclean, VA Our client seeks an ETL Data ... Develop AI agent systems using AWS Bedrock and agent frameworks such as Strands Agents SDK or ...

Real Estate Agent

Arlington, VA ยท Remote

$85K - $185K/yr

Flexible schedules and control over your personal and professional growth as an agent * A fun ... Remote Job Type: Full-time Commission: $85,000.00 - $185,000.00 per year Experience level: * 2 ...

Real Estate Agent

Arlington, VA ยท Remote

$85K - $185K/yr

Flexible schedules and control over your personal and professional growth as an agent * A fun ... Remote Job Type: Full-time Commission: $85,000.00 - $185,000.00 per year Experience level: * 2 ...

QA Automation Tester

Reston, VA ยท On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_HYBRID Description The AI Agentic Program seeks a senior ... Perform performance and load testing * Collaborate with developers, product owners, and ...

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Showing results 1-20

Remote Load Control Agent information

What is the difference between Remote Load Control Agent vs Remote Load Control Technician?

AspectRemote Load Control AgentRemote Load Control Technician
CredentialsTypically requires certification in load management or utility operationsRequires technical certifications in electrical or control systems
Work EnvironmentPrimarily office-based with remote monitoring dutiesFieldwork involving installation and maintenance of control systems
Industry UsageCommon in utility companies managing energy loads remotelyUsed in utility and energy sectors for system maintenance

The Remote Load Control Agent focuses on monitoring and managing energy loads remotely, often from an office setting, while the Remote Load Control Technician handles hands-on installation and maintenance of control systems. Both roles are essential in energy management but differ mainly in their responsibilities and work environment.

What are the primary challenges faced by Remote Load Control Agents and how can they be managed effectively?

Remote Load Control Agents often work under tight deadlines, balancing accuracy and efficiency in calculating aircraft weight and balance from a distance. The main challenges include coordinating with multiple teams across different locations, adapting to changing flight schedules, and resolving discrepancies quickly to ensure safety and regulatory compliance. To manage these effectively, agents should maintain clear communication, stay updated on airline procedures, and utilize digital tools for real-time collaboration. Proactively anticipating issues and continuous professional development also contribute to success in the role.

What is a Remote Load Control Agent?

A Remote Load Control Agent is a professional responsible for managing and monitoring aircraft weight and balance, cargo distribution, and load documentation from a remote location. They work closely with airlines and ground crews to ensure that all safety regulations and operational requirements are met before a flight departs. Using specialized software, they calculate the optimal placement of passengers, cargo, and fuel to maintain the aircraft's balance and safety. This role is crucial in reducing delays, ensuring compliance, and enhancing overall flight efficiency.

What are the key skills and qualifications needed to thrive as a Remote Load Control Agent, and why are they important?

To excel as a Remote Load Control Agent, you need strong analytical skills, attention to detail, and a solid understanding of weight and balance principles, typically supported by relevant aviation or logistics certifications. Familiarity with airline load planning software, flight operations systems, and sometimes specific certifications like IATA Dangerous Goods Awareness is essential. Outstanding communication, problem-solving abilities, and the capacity to work under pressure are important soft skills in this role. These competencies are critical to ensuring aircraft safety, regulatory compliance, and efficient flight operations.
Infographic showing various Remote Load Control Agent job openings in Washington as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.
ETL Data Engineer

ETL Data Engineer

Eliassen Group

Tysons, VA โ€ข Remote

$70 - $88/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 5 days ago


Job description

Description:

Hybrid 3 days onsite / 2 days remote in Mclean, VA

Our client seeks an ETL Data Engineer to build and maintain large-scale data pipelines and to design agentic AI systems that support regulatory analytics. The role spans Spark-based ETL on AWS data lake platforms and development of LLM-powered agents with secure, auditable outputs. The engineer will collaborate across teams, uphold secure development practices, and contribute to CI/CD and infrastructure-as-code while monitoring data quality and production performance.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70.00 to $88.00/hr. w2

Responsibilities:
  • Build and maintain ETL/ELT pipelines using Apache Spark, Hive, and Trino across S3-based data lakes.
  • Develop and optimize SQL for large-scale surveillance datasets using window functions, joins, and complex aggregations.
  • Engineer big data systems on EMR-on-EC2 and EMR-on-EKS and deliver solutions on analytical platforms such as SageMaker, Domino, or Dataiku.
  • Participate in data quality monitoring, anomaly detection, and production incident investigation.
  • Develop AI agent systems using AWS Bedrock and agent frameworks such as Strands Agents SDK or LangChain/LangGraph.
  • Design agent harnesses that combine LLM reasoning with deterministic execution including skill or RAG-based SQL generation and structured output validation.
  • Implement agent memory, context management, and tool integration including MCP servers, API connectors, and data catalog lookups.
  • Build evaluation frameworks for agent accuracy covering paraphrase robustness, routing precision, and structural consistency.
  • Stay informed on advances in LLM frameworks and emerging AI capabilities.
  • Write clean, well-tested code and contribute to CI/CD pipelines and infrastructure-as-code on AWS.
  • Ensure secure handling of sensitive regulatory data with auditable execution traces.
  • Adhere to secure development practices and technology policies.
  • Partner across teams, communicate at the appropriate technical level, and maintain documentation on Confluence or Wiki.
  • Learn from senior team members and contribute to process improvement.
Experience Requirements:
  • Experience building data pipelines with Apache Spark (PySpark preferred) and SQL.
  • Experience with SQL engines such as Hive or Trino and cloud data platforms including AWS S3, EMR, and Lambda.
  • Understanding of data skew, large-volume processing, and troubleshooting job failures due to resources, data quality, and scalability.
  • Hands-on debugging and mitigation experience.
  • Practical experience building LLM-powered agent systems that use tools and produce structured outputs.
  • Experience with agent frameworks such as LangChain, LangGraph, or AWS Strands.
  • Knowledge of prompt engineering, RAG architectures, and context or memory management.
  • Experience with foundation model APIs such as Anthropic Claude, Amazon Nova, or OpenAI.
  • Understanding of agent memory tiers and strategies for persistence, pruning, and retrieval.
  • Familiarity with harness patterns including deterministic guardrails, tool routing, and verification loops.
  • Hands-on experience with AI development tools such as GitHub Copilot, Q Developer, ChatGPT, or Claude.
  • Experience with spec-driven development for AI-assisted code generation and validation.
  • Ability to leverage AI pair programming for suggestions, debugging, refactoring, and automated test generation.
  • Experience with AWS services including S3, EMR, EMR on EKS, Lambda, Bedrock, and Step Functions.
  • Hands-on experience using S3 with Spark and related file format or consistency considerations.
  • Familiarity with AWS Bedrock guardrails, knowledge bases, and agent orchestration.
  • Exposure to Google Cloud Vertex AI or equivalent managed AI platforms.
  • Familiarity with AWS monitoring and logging tools such as CloudWatch and CloudTrail.
  • Proficiency in Python with clean, modular, and performant code and understanding of functional concepts.
  • Strong understanding of collections, concurrency, and memory management.
  • Proficiency with SQL window functions, joins, aggregations, and complex query optimization including edge cases.
Education Requirements:
  • Bachelor's degree in Computer Science, Data Science, Information Systems, or related discipline with at least two years of related experience, or equivalent training and work experience. Financial services experience preferred.
  • Demonstrated expertise in object-oriented and database technologies resulting in enterprise-quality solutions.
  • Knowledge of software engineering approaches including test automation, build automation, and configuration management.
  • Strong written and verbal technical communication skills and effective cross-team collaboration.
  • Ability to learn new skills rapidly and operate in a fast-paced environment.
Recruitment Transparency Notice
ย 
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screeningย and hiringย process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Groupโ€™s use of these tools, including AI tools, as part of the application and hiring process.
ย 

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

ยท When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

ยท Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contactย fraud@eliassen.com.

ย 
About Eliassen Group:
ย 
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clientsโ€™ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
ย 
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
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Donโ€™t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
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Eliassen Group logo

About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989