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Remote Loads Dynamics Engineer Jobs (NOW HIRING)

DivIHN

Senior Data Developer (Remote)

This role will focus on building Azure-based ETL/ELT pipelines, supporting legacy-to-cloud ... Azure Data Engineer certifications. * Experience with Dynamics 365 and Power Platform integrations.

Prestige Staffing

Data Engineer

Charlotte, NC · Remote

$106K - $128K/yr

... 100% Remote Summary We are seeking a skilled and proactive Data Engineer to join a dynamic team ... Strong expertise in ETL/ELT workflows and distributed data processing frameworks * Proficiency with ...

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Remote Loads Dynamics Engineer information

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$25

$53

$76

How much do remote loads dynamics engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote loads dynamics engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Loads Dynamics Engineer, and why are they important?

To thrive as a Remote Loads Dynamics Engineer, you need expertise in structural dynamics, aerodynamics, mechanical engineering principles, and typically a relevant engineering degree. Proficiency with simulation tools like MATLAB, NASTRAN, or ANSYS, as well as familiarity with loads analysis software and relevant certification (e.g., Professional Engineer license), is common. Strong problem-solving, attention to detail, and effective remote communication are vital soft skills for collaborating with global teams. These abilities ensure accurate analysis, safety, and optimal performance of aerospace structures, particularly in distributed or virtual work environments.

What are some common challenges faced by Remote Loads Dynamics Engineers, and how can they be addressed?

Remote Loads Dynamics Engineers often encounter challenges such as managing complex simulations, ensuring data accuracy across distributed teams, and coordinating with cross-functional stakeholders in different time zones. Effective communication and clear documentation are key to overcoming these hurdles, as is proficiency with collaborative engineering software. Staying organized and proactively scheduling regular virtual meetings can help maintain project momentum and ensure alignment with team goals.

What is the difference between Remote Loads Dynamics Engineer vs Remote Loads Supply Chain Analyst?

AspectRemote Loads Dynamics EngineerRemote Loads Supply Chain Analyst
Required CredentialsBachelor's in Engineering, Dynamics certificationsBachelor's in Supply Chain, Logistics certifications
Work EnvironmentTechnical, engineering-focused teamsOperations, logistics departments
Industry UsageTransportation, logistics, software firmsRetail, manufacturing, distribution
Common Search IntentTechnical roles, software engineeringSupply chain optimization, logistics analysis

The Remote Loads Dynamics Engineer primarily focuses on developing and maintaining logistics software solutions, requiring engineering and Dynamics expertise. In contrast, the Remote Loads Supply Chain Analyst concentrates on analyzing supply chain data to improve efficiency. While both roles operate within the logistics industry and may share some certifications, their core responsibilities and skill sets differ significantly.

What does a Remote Loads Dynamics Engineer do?

A Remote Loads Dynamics Engineer is responsible for analyzing and predicting the forces and dynamic responses experienced by structures—such as aircraft, wind turbines, or spacecraft—under various operating conditions, all while working remotely. They use advanced simulation software and engineering principles to ensure structural integrity, safety, and performance. Their tasks often include creating computational models, running load simulations, interpreting test data, and collaborating with multidisciplinary teams through digital communication tools. This role is critical in industries where understanding dynamic loads is essential for design and certification.
More about Remote Loads Dynamics Engineer jobs
What cities are hiring for Remote Loads Dynamics Engineer jobs? Cities with the most Remote Loads Dynamics Engineer job openings:
What are the most commonly searched types of Loads Dynamics Engineer jobs? The most popular types of Loads Dynamics Engineer jobs are:
What states have the most Remote Loads Dynamics Engineer jobs? States with the most job openings for Remote Loads Dynamics Engineer jobs include:
What job categories do people searching Remote Loads Dynamics Engineer jobs look for? The top searched job categories for Remote Loads Dynamics Engineer jobs are:
Remote Loads Dynamics Engineer jobs near you
Infographic showing various Remote Loads Dynamics Engineer job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Senior Data Developer (Remote)

DivIHN

Remote

Full-time

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

Job description

For further inquiries about this opportunity, please contact one of our Talent Specialist Marsh at (224)5071280
Title: Senior Data Developer (Remote)
Duration: 12 Months
Location: Remote
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
Work Arrangement
  • Remote engagement with required onsite attendance in Springfield, IL during the first week of the project.
  • Remaining duration of the contract may be performed remotely.

Description:
Position Summary
Our client is seeking a Senior Data Developer to design, develop, and implement scalable cloud-based data integration and migration solutions supporting the CMS Data Modernization Program. This role will focus on building Azure-based ETL/ELT pipelines, supporting legacy-to-cloud migration activities, implementing multizone data lake solutions, and enabling enterprise reporting and analytics.
The ideal candidate will possess strong hands-on expertise in Azure Data Factory, Azure SQL, cloud data engineering, and legacy data migration.
Key Responsibilities
  • Design, develop, and maintain Azure Data Factory (ADF) pipelines for ingestion, orchestration, and transformation.
  • Build scalable ETL/ELT solutions supporting enterprise data migration and modernization.
  • Implement multizone data lake architectures (Bronze/Silver/Gold) using Azure cloud technologies.
  • Develop and optimize SQL/T-SQL scripts, stored procedures, and transformation logic.
  • Extract and migrate data from legacy/mainframe environments including IMS DB/DC and DB2 systems.
  • Implement automated monitoring, logging, alerting, and error handling frameworks for data pipelines.
  • Support scheduling frameworks, orchestration sequencing, and refresh cycle management.
  • Develop CI/CD deployment pipelines supporting data movement and database objects.
  • Execute end-to-end migration activities including extraction, transformation, validation, delta loads, and production cutovers.
  • Implement data quality and validation controls supporting reconciliation and accuracy reporting.
  • Collaborate with architects, analysts, SMEs, and project leadership teams.
  • Support Azure governance standards including RBAC, ABAC, and Key Vault integration.
  • Perform source system inventory and data discovery activities to support migration planning.
  • Develop and maintain ingestion contracts, including field-level source-to-target mapping documentation.
  • Support data classification efforts, including identification and documentation of PII, SSN, and other sensitive data elements.
  • Design and support transactional staging environments for data ingestion and migration processes.
  • Create and maintain Azure Data Factory (ADF) pipeline specifications and support technical documentation.
Required Qualifications
  • 7+ years of experience in data engineering, ETL development, or cloud data modernization.
  • Strong hands-on expertise with Azure Data Factory (ADF).
  • Experience with Azure SQL, Azure Data Lake Storage (ADLS), and Azure cloud ecosystems.
  • Strong SQL and T-SQL development skills.
  • Experience developing multizone data lake solutions.
  • Experience migrating data from legacy or mainframe environments.
  • Experience implementing monitoring, logging, and automated validation frameworks.
  • Familiarity with DevOps and CI/CD processes.
  • Strong troubleshooting, analytical, and communication skills.
Preferred Qualifications
  • Experience supporting government or highly regulated environments.
  • Azure Data Engineer certifications.
  • Experience with Dynamics 365 and Power Platform integrations.

Apply