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Data Engineering Jobs in Toronto, OH (NOW HIRING)

SysMind Tech

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Role: Data Engineer Location: Warrendale, PA / Pittsburgh, PA (Onsite) Job Type: Contract Role Overview We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and ...

Palnar

Data Engineer

Pittsburgh, PA · On-site

$108K - $130K/yr

• Current major goal of project is to move from OnPrem to cloud storage to SaaS • ThoughtSpot is a BI tool for the enterprise (internal users) • Team is made of data engineers and business ...

Sarian, Inc.

Data Architect

Pittsburgh, PA · On-site

$60.50 - $78/hr

Programming languages like Python and Java. Roles & Responsibilities * Designing and developing data models to fulfill the organization's strategic data needs. * This includes conceptual, logical ...

Norsk Hydro

Data Migration Lead

Coraopolis, PA

$94K - $129K/yr

Strong developer experience in all phases of an end-to-end SAP Data Migration. * Requires working experience with Data migration cockpit and Fiori app Migrate Your Data. * Requires strong ABAP ...

Norsk Hydro

Data Migration Lead

Moon Township, PA · On-site

$94K - $129K/yr

Strong developer experience in all phases of an end-to-end SAP Data Migration. * Requires working experience with Data migration cockpit and Fiori app Migrate Your Data. * Requires strong ABAP ...

Form Energy

Data & Systems Technician

Weirton, WV · On-site

Partner with manufacturing, quality, engineering, software, and maintenance teams to translate operational needs into scalable data and reporting solutions. * Monitor system performance and ...

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All JobsData Engineering JobsData Engineering Jobs in Toronto, OH

Data Engineering information

See Toronto, OH salary details

$41K

$147.2K

$217.2K

How much do data engineering jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data engineering in Toronto, OH is $147,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $151,600.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What cities near Toronto, OH are hiring for Data Engineering jobs?

Cities near Toronto, OH with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Toronto, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $147,201 per year, or $70.8 per hour.

Data Engineer - Databricks

SysMind Tech

Pittsburgh, PA • On-site

$108K - $130K/yr

Contractor

Re-posted 28 days ago

Job description

Role: Data Engineer
Location: Warrendale, PA / Pittsburgh, PA (Onsite)
Job Type: Contract
Role Overview
We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and Spark to design and build scalable data pipelines. The ideal candidate will have hands-on experience with ETL/ELT development and large-scale data processing using Spark and PySpark.
Key Responsibilities
  • Design, develop, and maintain ETL/ELT data pipelines for large-scale data processing.
  • Build scalable data solutions using Databricks and Apache Spark (PySpark / Spark SQL).
  • Develop and optimize Python-based data processing frameworks.
  • Work closely with data analysts and data scientists to deliver high-quality datasets.
  • Optimize performance and scalability of data pipelines.
  • Implement data quality checks and monitoring solutions.
  • Collaborate with cross-functional teams to support analytics and reporting initiatives.

Required Skills
  • Advanced Databricks (hands-on experience)
  • Strong Python programming
  • Spark / PySpark / Spark SQL
  • ETL / ELT pipeline development
  • Data pipeline optimization and performance tuning
  • Strong SQL skills

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