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Data Engineer Jobs in Warren, OH (NOW HIRING)

Data Analytics Engineer 2

Hermitage, PA · On-site

$104K - $125K/yr

Data and Analytics Engineer 2 Business Unit: Technology Reports to: Manager of Data and Analytics Engineering Position Overview: This position is primarily responsible for providing comprehensive ...

Unisys Corporation is seeking an experienced On-Site Service Engineer (OSE) to provide hands-on support for enterprise data center servers and hardware environments , including next-generation AI ...

Unisys Corporation is seeking an experienced On‑Site Service Engineer (OSE) to provide hands‑on support for enterprise data center servers and hardware environments, including next‑generation ...

Unisys Corporation is seeking an experienced On-Site Service Engineer (OSE) to provide hands-on support for enterprise data center servers and hardware environments , including next-generation AI ...

Summer 2027 Data Engineering Intern

Hermitage, PA · On-site +1

$15.25 - $19.75/hr

Shadow Data and Analytics Engineers and their duties and projects. * Attend EDMG meetings such as code reviews, standardization, data governance, etc. * Analyze data. * Create Spotfire visualizations.

Summer 2027 Data Engineering Intern

Hermitage, PA · On-site +1

$15.25 - $19.75/hr

Shadow Data and Analytics Engineers and their duties and projects. * Attend EDMG meetings such as code reviews, standardization, data governance, etc. * Analyze data. * Create Spotfire visualizations.

Summer 2027 Data Engineering Intern

Hermitage, PA · On-site +1

$15.25 - $19.75/hr

Shadow Data and Analytics Engineers and their duties and projects. * Attend EDMG meetings such as code reviews, standardization, data governance, etc. * Analyze data. * Create Spotfire visualizations.

Datacenter Hardware Technician Warren, OH (100% onsite) Monday-Friday (8am-5pm shift) Salary: 80-85K Overview: We are seeking a Datacenter Hardware Technician to support and maintain Dell server ...

Datacenter Hardware Technician Warren, OH (100% onsite) Monday-Friday (8am-5pm shift) Salary: 80-85K Overview: We are seeking a Datacenter Hardware Technician to support and maintain Dell server ...

Datacenter Hardware Technician Warren, OH (100% onsite) Monday-Friday (8am-5pm shift) Salary: 80-85K Overview: We are seeking a Datacenter Hardware Technician to support and maintain Dell server ...

Datacenter Hardware Technician Warren, OH (100% onsite) Monday-Friday (8am-5pm shift) Salary: 80-85K Overview: We are seeking a Datacenter Hardware Technician to support and maintain Dell server ...

Quality Engineer

Streetsboro, OH · On-site

$67K - $86K/yr

The Quality Engineer turns data from customer service, replacement parts, and online reviews into specific, prioritized focus areas for the teams that own execution -- Product Engineering, Product ...

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Data Engineer information

See Warren, OH salary details

$38.3K

$111.5K

$152.6K

How much do data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data engineer in Warren, OH is $111,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $118,200.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Warren, OH?

The most popular types of Data Engineer jobs in Warren, OH are:

What are popular job titles related to Data Engineer jobs in Warren, OH?

For Data Engineer jobs in Warren, OH, the most frequently searched job titles are:

What cities near Warren, OH are hiring for Data Engineer jobs?

Cities near Warren, OH with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Warren, OH as of August 2026, with employment types broken down into 83% Full Time, 9% Temporary, and 8% Contract. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $111,535 per year, or $53.6 per hour.

Data Analytics Engineer 2

Hermitage, PA • On-site

$104K - $125K/yr

Full-time

Posted 5 days ago


Job description

Primary Office Location:626 Washington Place. Pittsburgh, Pennsylvania. 15219.Join our team. Make a difference - for us and for your future.

**Please note: this on-site position is based at our Financial Center in Pittsburgh, PA. Candidates must be local, or willing to relocate to area.

FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.**

Preferred Requirements:

  • Proficient in banking and financial analytical data modeling (conceptual, logical, & physical) with hands on demonstrative experience designing and building with entity relational modeling technologies or equivalent.
  • Story Proficiency in programming using Microsoft development integration services tech stack, Python, Tibco, .NET/Java, data visualization and business intelligent tools Power BI, SSRS, or Cognos Analytics
  • In-depth experience with secure coding, Continuous Integration and Continuous Delivery/Deployment (CI/CD) pipelines and automated testing frameworks utilizing Azure DevOps (ADO) and Python
  • Masters degree in Computer Science and/or engineering, Statistics, Mathematics, Engineering, Information Systems, Data Science, Economics or related fields

Position Title: Data and Analytics Engineer 2

Business Unit: Technology

Reports to: Manager of Data and Analytics Engineering

Position Overview:

This position is primarily responsible for providing comprehensive data and analytics support for all business units across the corporation and works on low to medium complex and cross-functional data centric solutions, works on multiple projects as a team member, works with BI and Data Analysts to understand customer need.The incumbent collects, analyzes and shares data to help business teams drive improvement in key business metrics, customer experience and business results and has a moderate impact on operations, resources and the corporation's reputation.

Primary Responsibilities:

Works with Business Information and Data Analysts to understand customer needs. Collects, analyzes and shares data to help business teams drive improvement in key business metrics, customer experience and business results. Utilizes database and web application technologies to develop and evaluate innovative business intelligence tools and automated reports.

Develops and tests analytical solutions such as databases, queries, views, reports and dashboards.Assists in data conversions, imports and exports of data within and between internal and external software systems. Documents new and existing models, solutions and implementations.

Designs and builds reporting and analysis tools that help streamline the business and makes reporting, analyzing, planning and forecasting more efficient. Supports and assists with the integration of analytical platforms with enterprise systems and applications. Troubleshoots analytics tools, systems, and software. Tracks performance and production issues.

May assist in performance tuning of analytics applications.Escalates production issues as appropriate.Ensures the collected data is within required quality standards. May maintain the quality of Metadata Repository by adding, modifying and deleting data.

Adheres to process, policies and standards. Keeps customers informed about business intelligence tool problems and resolutions.Tracks and reports on issues and enhancement requests for the business in a timely manner.

Performs regular assignments using own judgment and following the corporation's data policy, while keeping supervisor informed as necessary.Receives general guidance on new projects as to methods, procedures and desired end results.Uses discretion to make decisions within the scope of their responsibilities. Complex assignments are usually reviewed upon completion.

Performs other related duties and projects as assigned.

All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program.

F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions.

Minimum Level of Education Required to Perform the Primary Responsibilities of this Position:

BA or BS

Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position:

3

Skills Required to Perform the Primary Responsibilities of this Position:

Excellent customer service skills

Ability to use general office equipment

Ability to work and multi-task in a fast paced environment

Excellent organizational, analytical and interpersonal skills

Detail-oriented

Minimum of 3 years of related technical experience

Minimum of 3 years of experience supporting a major Business Intelligence/Data Warehousing system

Expert skills in data analysis and data mining

Licensures/Certifications Required to Perform the Primary Responsibilities of this Position:

N/A

Physical Requirements or Work Conditions Beyond Traditional Office Work:

N/A


Equal Employment Opportunity (EEO):

It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.