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Remote Loads Dynamics Engineer Jobs in Maryland (NOW HIRING)

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Modernize legacy ETL capability to data supply chain solution integrating with Enterprise data ... Work Flexibility This role is eligible for full time remote work.

Senior Data Engineer (Remote)

Baltimore, MD · Remote

$105K - $143K/yr

Experience developing and updating ETL/ELT scripts. Hands-on experience with application ... Strong Data Engineering Fundamentals: Solid understanding of ETL/ELT processes, data warehousing ...

Software Test Engineer

Lanham, MD · On-site +1

$106K - $195K/yr

Revolution Space is looking for an experienced dynamic and growth-oriented Software Test Engineer ... The position is full-time, and available as remote or as a hybrid role in Boston, MA or Lanham, MD.

Sr. Software Engineer

Bethesda, MD · On-site +1

$131K - $172K/yr

The percentage of remote work will vary based on client requirements/deliverables. Specifically, we ... Experience in Extraction, Transformation, and Load (ETL) * Hands-on development experience in a ...

Sr. Software Engineer

Bethesda, MD · On-site +1

$131K - $172K/yr

The percentage of remote work will vary based on client requirements/deliverables. Specifically, we ... Experience in Extraction, Transformation, and Load (ETL) * Hands-on development experience in a ...

Hybrid Columbia MD 3 times a week OR Remote (as applicable to role) Work Authorization Requirements ... Design and execute performance, load, and scalability testing activities. * Analyze system ...

Senior Network Engineer

Lexington Park, MD · On-site +1

$150K - $165K/yr

Configure routers, switches, firewalls, load balancers, and network management systems. * Maintain ... Support connectivity between live platforms, simulators, command centers, and remote training ...

Showing results 21-40

Remote Loads Dynamics Engineer information

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.

What are the key skills and qualifications needed to thrive as a remote loads dynamics engineer?

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 job categories do people searching Remote Loads Dynamics Engineer jobs in Maryland look for?

The top searched job categories for Remote Loads Dynamics Engineer jobs in Maryland are:

What cities in Maryland are hiring for Remote Loads Dynamics Engineer jobs?

Cities in Maryland with the most Remote Loads Dynamics Engineer job openings:

Lead Data Engineer

Baltimore, MD • On-site, Remote


T Rowe Price
Funds, Trusts and Financial Programs • 5 - 10K employees

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Great coworkers

People enjoy working here

Good employer


$113K - $136K/yr

Full-time

Re-posted 22 days ago


Job description

Role Summary
T. Rowe Price is seeking an experienced Lead Data Engineer to guide the development and deployment of Enterprise data solutions that drives transformation enabling new business capabilities driving growth, tangible operational efficiency, and superior client experiences. The successful candidate will be a hands-on leader with deep technical skills, who can drive best practices and innovation in a collaborative, purpose-driven environment.

Responsibilities

  • Lead the design, development, and maintenance of Enterprise data platform and solutions, analytics capabilities including modernizing data supply chain, integrating advanced data governance capabilities and data distribution patterns.
  • Collaborate with data engineers, business partners, product owners, and other stakeholders to understand business requirements and develop them into robust enterprise data solutions.
  • Modernize legacy ETL capability to data supply chain solution integrating with Enterprise data platform to provide scalability.
  • Modernize legacy data quality, data governance capabilities to innovative enterprise capabilities that can scale.
  • Champion data governance, security, and regulatory compliance, ensuring alignment with T. Rowe Price's standards and industry best practices.
  • Mentor and develop junior engineers, fostering a culture of innovation, diversity, and continuous improvement.
  • Lead offshore team effectively to ensure delivery success aligning to business & strategic objectives.
  • Evaluate and implement emerging technologies, frameworks, and tools to advance T. Rowe Price's data and AI capabilities.
  • Troubleshoot and optimize data solutions and platform performance, ensuring scalability and resilience.
  • Document system architectures, processes, and best practices for technical and non-technical stakeholders.

Qualifications

Required:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
  • 8+ years of professional experience in data engineering, AI, or machine learning roles.
  • Strong proficiency in Snowflake tech, DBT, Airflow, Python, Java.
  • Experience with cloud data platforms (AWS, Snowflake), preferably within a regulated industry.
  • Solid understanding of Agile methodologies and DevOps practices.
  • Excellent communication, collaboration, and leadership skills.
  • Knowledge of data privacy, compliance (e.g., GDPR), and industry regulations relevant to financial services.
  • Experience in the asset management or financial services industry.
  • Familiarity with CI/CD pipelines, and model lifecycle management.

Preferred:

  • Industry certifications in cloud or data engineering technologies.
  • Knowledge of data privacy, compliance (e.g., GDPR), and industry regulations relevant to financial services.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for full time remote work.



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