2

Remote Rail Track Engineer Jobs in Connecticut (NOW HIRING)

Sr. Product Owner, Data Science

Hartford, CT · On-site +1

$111K - $166K/yr

Collaborate closely with data scientists, machine learning engineers, and other technical teams ... Define and track key performance indicators (KPIs) for data science products, analyzing performance ...

New

Showing results 21-40

Remote Rail Track Engineer information

What is a remote rail track engineer?

Remote Rail Track Engineers are professionals who design, inspect, and maintain railway track systems while working from a remote location. They use specialized software and digital tools to review plans, analyze data, and coordinate with on-site teams to ensure the safety and efficiency of rail infrastructure. Their responsibilities may include track layout design, structural assessments, and compliance with safety regulations. Remote Rail Track Engineers may also provide technical support and troubleshooting for track-related issues without being physically present on site.

How do remote rail track engineers typically collaborate with on-site teams to ensure project success?

Remote Rail Track Engineers work closely with on-site teams by utilizing digital tools such as video conferencing, project management platforms, and cloud-based design software. Regular virtual meetings and clear communication channels are established to discuss project progress, clarify technical requirements, and resolve issues in real-time. While the engineer may not be physically present, they often review site data, participate in remote inspections, and provide guidance based on digital survey results. This collaborative approach ensures that remote engineers remain integral to decision-making and quality assurance throughout the project.

What are the key skills and qualifications needed to thrive as a remote rail track engineer, and why are they important?

To thrive as a Remote Rail Track Engineer, you need expertise in civil or railway engineering, strong knowledge of track design and maintenance standards, and typically a relevant engineering degree or professional certification. Proficiency with CAD software, rail-specific design tools, and remote monitoring systems is essential. Excellent problem-solving skills, attention to detail, and effective communication are standout soft skills for this role. These competencies are vital for ensuring the safety, reliability, and efficiency of rail infrastructure, especially when working remotely.

What is the difference between Remote Rail Track Engineer vs Remote Civil Engineer?

AspectRemote Rail Track EngineerRemote Civil Engineer
Required CredentialsBachelor's in Civil Engineering, certifications in railway design or track inspectionBachelor's in Civil Engineering, PE license, construction or design certifications
Work EnvironmentRailway projects, track inspection sites, remote monitoringConstruction sites, infrastructure projects, remote site assessments
Industry UsageRailway companies, transportation agenciesConstruction firms, infrastructure developers
Common Search/ComparisonYesYes

The Remote Rail Track Engineer and Remote Civil Engineer roles share similar educational backgrounds and certifications, often working in remote or site-based environments. While the Rail Track Engineer specializes in railway infrastructure, the Civil Engineer covers broader infrastructure projects. Both roles are essential in transportation and construction industries, with overlapping skills and industry usage.

What cities in Connecticut are hiring for Remote Rail Track Engineer jobs?

Cities in Connecticut with the most Remote Rail Track Engineer job openings:

Senior RWE/RWA Programmer - Remote

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Re-posted 10 days ago


Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Brief Description: The Senior Real-World Analyst (RWA) will be responsible for conducting analyses for Real-World Evidence (RWE) studies utilizing administrative claims, electronic medical records (EMR), and registry data. The successful candidate will possess a deep understanding about the use of Real-World Data (RWD), exceptional programming and analytical skills and a proven track record in delivering high-quality RWE analytic projects. The candidate will also ensure the timeliness and delivery of scientifically valid research

Essential Functions Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting objectives of the project. Clean and validate RWD for consistency and reliability Implement programming as specified from RWE protocol using a variety of RWD from multiple sources, including Optum and Flatiron Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable analyses Create or review and approve programming plans at study and project level. Displays highly advanced knowledge regarding program, epidemiology methodologies implementation and system development life cycle concepts.

Maintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studies Develop dashboards, reports, and presentations to communicate findings Work collaboratively with members of study teams to meet study and recurring report timelines Minimum Requirements MS in data science, epidemiology, statistics, public health or related discipline At least 7 years of RWD analysis experience using healthcare claims/EMR/registry databases within the biopharmaceutical industry or provider/payer organizations Fluence in programming software SQL and R is required. Knowledge of SAS and/or Python would be considered an advantage Optum and Flatiron experience are required Familiarity with US and global health care coding system (e.g. ICD, CPT, HCPCS, LOINC, MedDRA) and delivery system (e.g

payers and reimbursement models) Experience conducting routine and advanced statistical analyses for RWE generation, leveraging time-to-event, cross-sectional, and longitudinal data Experience with big data analytical platforms Deep understanding of observational study analysis Able to work in a fast-paced, flexible, team-oriented environment