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Remote Structural Engineer Jobs in Toronto, OH (NOW HIRING)

Remote Structural Engineer information

See Toronto, OH salary details

$44.6K

$88.7K

$135.6K

How much do remote structural engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote structural engineer in Toronto, OH is $88,668.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,400.00 and $100,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Structural Engineer position, and why are they important?

A Remote Structural Engineer requires a strong background in structural analysis, design principles, and a degree in civil or structural engineering, often with a Professional Engineer (PE) license. Proficiency in industry-standard software such as AutoCAD, Revit, SAP2000, and ETABS is crucial, along with familiarity with building codes and standards. Effective communication, time management, and self-motivation distinguish top remote structural engineers in a virtual team environment. These abilities ensure engineers can independently deliver accurate designs, meet deadlines, and collaborate seamlessly with clients and multidisciplinary teams from a remote setting.

What is a Remote Structural Engineer job?

A Remote Structural Engineer designs, analyzes, and reviews building and infrastructure projects while working from a remote location. They use software like AutoCAD, Revit, and structural analysis tools to ensure structures are safe and compliant with regulations. Communication with clients, architects, and construction teams is done through virtual meetings, emails, and cloud-based collaboration tools. This role allows engineers to work flexibly while contributing to various projects worldwide.

What does a typical workday look like for a Remote Structural Engineer, and how do they stay connected with their team?

A typical workday for a Remote Structural Engineer involves performing structural calculations, preparing design drawings and reports, reviewing construction documents, and coordinating with architects and other engineers through virtual meetings. Team communication is maintained using collaboration tools like Slack, Microsoft Teams, and project management platforms to ensure everyone is aligned on project goals and timelines. Remote structural engineers often participate in regular video conferences and file-sharing activities to review work and provide feedback. This setup enables them to efficiently contribute to projects while enjoying the flexibility of a remote work environment.

What are the most commonly searched types of Structural Engineer jobs in Toronto, OH? The most popular types of Structural Engineer jobs in Toronto, OH are:
What are popular job titles related to Remote Structural Engineer jobs in Toronto, OH? For Remote Structural Engineer jobs in Toronto, OH, the most frequently searched job titles are:
What cities near Toronto, OH are hiring for Remote Structural Engineer jobs? Cities near Toronto, OH with the most Remote Structural Engineer job openings:
Analytics Engineer II

Analytics Engineer II

Dick's Sporting Goods

Coraopolis, PA • On-site, Remote

Full-time

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


Dick's Sporting Goods rating

6.5

Company rating: 6.5 out of 10

Based on 1,147 frontline employees who took The Breakroom Quiz

15th of 39 rated national retailers


Job description

At DICK'S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.
If you are ready to make a difference as part of the world's greatest sports team, apply to join our team today!
OVERVIEW:
Design and build data models and BI dashboards, data visualizations, and applications to solve business problems. Support Analytics Engineering technical solutions and best practices using requirements and direction.
RESPONSIBILITIES
Data Modeling & Visualization
Understand the basics for modeling and is able to implement best practices for data visualization. Design performant data models using SQL and BI development tools.
Functional/Technical Requirements
Collaborate and work as part of an Agile team with Product Managers, Analysts, Analytics Engineers, and Data Engineers to understand data and business needs. Translate technical and business concepts and apply data and BI solutions.
Program/Portfolio Management Support
Understand how to work within an established program management plan to achieve specific goals. Support and maintain production processes and effectively troubleshoots issues. Coordinate code review with engineering, data validation and QA/UAT with analysts and business partners.
Technical Developments Recommendation
Design, build, and deploy new data models and BI applications and enhance existing in production. Support efforts and suggest ways to optimize solutions to better meet business, performance, and/or quality needs.
Ongoing Learning and Development
Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching.
QUALIFICATIONS:
Technology Experience
Experience with Business Intelligence (BI) tools (e.g. Microsoft Power BI, QlikSense, Looker, Tableau); cloud platforms (e.g. Microsoft Azure, Google Cloud Platform (GCP)); cloud data warehouses (e.g. Snowflake, Google BigQuery); databases (e.g. Oracle); version control systems and CI/CD (e.g. GitHub, GitHub Actions). Development experience in SQL. Python development and data architecture experience preferred.
Preferred experience with:
  • Databricks - Unity Catalog, SQL stored procedures, job orchestration, Databricks Asset Bundles (DABs), Metric Views, Genie
  • Power BI - report/dashboard development, DAX measures, data modeling, Power Query
  • SQL - advanced patterns including CTEs, MERGE/upsert, window functions, parameterized stored procedures, dimensional modeling
  • Python - PySpark, notebook-based ETL workflows
  • Retail/merchandising analytics domain knowledge

EDUCATION
  • Bachelor's Degree or Equivalent Level Preferred

EXPERIENCE
  • 1-3 Years of Experience

#LI-KF1
VIRTUAL REQUIREMENTS:
At DICK'S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments.
To ensure a smooth and secure experience, please note the following:
  • Cameras must be on during all virtual interviews.
  • AI tools are not permitted to be used by the candidateduring any part of the interview process.
  • Offers are contingent upon a satisfactory background check which may include ID verification.

If you have any questions or need accommodations, we're here to help. Thanks for helping us keep the process fair and secure for everyone!

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